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Buffer shape="+this.shape;throw new Error(i)}n++}for(var s=t[t.length-1],u=0;u<t.length-1;++u)s+=this.strides[u]*t[u];return this.values[s]},t.prototype.locToIndex=function(t){if(0===this.rank)return 0;if(1===this.rank)return t[0];for(var e=t[t.length-1],n=0;n<t.length-1;++n)e+=this.strides[n]*t[n];return e},t.prototype.indexToLoc=function(t){if(0===this.rank)return[];if(1===this.rank)return[t];for(var e=new Array(this.shape.length),n=0;n<e.length-1;++n)e[n]=Math.floor(t/this.strides[n]),t-=e[n]*this.strides[n];return e[e.length-1]=t,e},Object.defineProperty(t.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),t.prototype.toTensor=function(){return ft().makeTensor(this.values,this.shape,this.dtype)},t}(),ft=null,vt=null,mt=null;exports.TensorBuffer=dt;var gt=function(){function t(t,e,n,r){this.kept=!1,this.isDisposedInternal=!1,this.shape=t.slice(),this.dtype=e||"float32",this.size=R(t),this.strides=X(t),this.dataId=n,this.id=r,this.rankType=this.rank<5?this.rank.toString():"higher"}return t.prototype.flatten=function(){return this.throwIfDisposed(),this.as1D()},t.prototype.asScalar=function(){return this.throwIfDisposed(),b(1===this.size,function(){return"The array must have only 1 element."}),this.reshape([])},t.prototype.as1D=function(){return this.throwIfDisposed(),this.reshape([this.size])},t.prototype.as2D=function(t,e){return this.throwIfDisposed(),this.reshape([t,e])},t.prototype.as3D=function(t,e,n){return this.throwIfDisposed(),this.reshape([t,e,n])},t.prototype.as4D=function(t,e,n,r){return this.throwIfDisposed(),this.reshape([t,e,n,r])},t.prototype.as5D=function(t,e,n,r,o){return this.throwIfDisposed(),this.reshape([t,e,n,r,o])},t.prototype.asType=function(t){return this.throwIfDisposed(),vt.cast(this,t)},Object.defineProperty(t.prototype,"rank",{get:function(){return this.shape.length},enumerable:!0,configurable:!0}),t.prototype.buffer=function(){return a(this,void 0,void 0,function(){var t;return i(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,vt.buffer(this.shape,this.dtype,t)]}})})},t.prototype.bufferSync=function(){return vt.buffer(this.shape,this.dtype,this.dataSync())},t.prototype.array=function(){return a(this,void 0,void 0,function(){var t;return i(this,function(e){switch(e.label){case 0:return[4,this.data()];case 1:return t=e.sent(),[2,Y(this.shape,t)]}})})},t.prototype.arraySync=function(){return Y(this.shape,this.dataSync())},t.prototype.data=function(){return a(this,void 0,void 0,function(){var t,e;return i(this,function(n){switch(n.label){case 0:return this.throwIfDisposed(),t=ft().read(this.dataId),"string"!==this.dtype?[3,2]:[4,t];case 1:e=n.sent();try{return[2,e.map(function(t){return nt(t)})]}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}n.label=2;case 2:return[2,t]}})})},t.prototype.dataSync=function(){this.throwIfDisposed();var t=ft().readSync(this.dataId);if("string"===this.dtype)try{return t.map(function(t){return nt(t)})}catch(t){throw new Error("Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().")}return t},t.prototype.bytes=function(){return a(this,void 0,void 0,function(){var t;return i(this,function(e){switch(e.label){case 0:return this.throwIfDisposed(),[4,ft().read(this.dataId)];case 1:return t=e.sent(),"string"===this.dtype?[2,t]:[2,new Uint8Array(t.buffer)]}})})},t.prototype.dispose=function(){this.isDisposed||(ft().disposeTensor(this),this.isDisposedInternal=!0)},Object.defineProperty(t.prototype,"isDisposed",{get:function(){return this.isDisposedInternal},enumerable:!0,configurable:!0}),t.prototype.throwIfDisposed=function(){if(this.isDisposed)throw new Error("Tensor is disposed.")},t.prototype.toFloat=function(){return this.asType("float32")},t.prototype.toInt=function(){return this.asType("int32")},t.prototype.toBool=function(){return this.asType("bool")},t.prototype.print=function(t){return void 0===t&&(t=!1),vt.print(this,t)},t.prototype.reshape=function(t){return this.throwIfDisposed(),vt.reshape(this,t)},t.prototype.reshapeAs=function(t){return this.throwIfDisposed(),this.reshape(t.shape)},t.prototype.expandDims=function(t){return void 0===t&&(t=0),vt.expandDims(this,t)},t.prototype.cumsum=function(t,e,n){return void 0===t&&(t=0),void 0===e&&(e=!1),void 0===n&&(n=!1),vt.cumsum(this,t,e,n)},t.prototype.squeeze=function(t){return this.throwIfDisposed(),vt.squeeze(this,t)},t.prototype.clone=function(){return this.throwIfDisposed(),vt.clone(this)},t.prototype.oneHot=function(t,e,n){return this.throwIfDisposed(),vt.oneHot(this,t,e,n)},t.prototype.toString=function(t){return void 0===t&&(t=!1),ct(this.dataSync(),this.shape,this.dtype,t)},t.prototype.tile=function(t){return this.throwIfDisposed(),vt.tile(this,t)},t.prototype.gather=function(t,e){return void 0===e&&(e=0),this.throwIfDisposed(),vt.gather(this,t,e)},t.prototype.matMul=function(t,e,n){return void 0===e&&(e=!1),void 0===n&&(n=!1),this.throwIfDisposed(),vt.matMul(this,t,e,n)},t.prototype.dot=function(t){return this.throwIfDisposed(),vt.dot(this,t)},t.prototype.norm=function(t,e,n){return void 0===t&&(t="euclidean"),void 0===e&&(e=null),void 0===n&&(n=!1),this.throwIfDisposed(),vt.norm(this,t,e,n)},t.prototype.slice=function(t,e){return this.throwIfDisposed(),vt.slice(this,t,e)},t.prototype.reverse=function(t){return this.throwIfDisposed(),vt.reverse(this,t)},t.prototype.concat=function(e,n){return void 0===n&&(n=0),this.throwIfDisposed(),e instanceof t&&(e=[e]),vt.concat([this].concat(e),n)},t.prototype.split=function(t,e){return void 0===e&&(e=0),this.throwIfDisposed(),vt.split(this,t,e)},t.prototype.stack=function(t,e){return void 0===e&&(e=0),vt.stack([this,t],e)},t.prototype.unstack=function(t){return void 0===t&&(t=0),vt.unstack(this,t)},t.prototype.pad=function(t,e){return void 0===e&&(e=0),vt.pad(this,t,e)},t.prototype.batchNormalization=function(t,e,n,r,o){return void 0===n&&(n=.001),mt("tf.batchNormalization() is going away. Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon"),this.batchNorm(t,e,o,r,n)},t.prototype.batchNorm=function(t,e,n,r,o){return void 0===o&&(o=.001),this.throwIfDisposed(),vt.batchNorm(this,t,e,n,r,o)},t.prototype.all=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),vt.all(this,t,e)},t.prototype.any=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),vt.any(this,t,e)},t.prototype.logSumExp=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),vt.logSumExp(this,t,e)},t.prototype.sum=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),vt.sum(this,t,e)},t.prototype.prod=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),vt.prod(this,t,e)},t.prototype.mean=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),vt.mean(this,t,e)},t.prototype.min=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),vt.min(this,t,e)},t.prototype.max=function(t,e){return void 0===t&&(t=null),void 0===e&&(e=!1),this.throwIfDisposed(),vt.max(this,t,e)},t.prototype.argMin=function(t){return void 0===t&&(t=null),this.throwIfDisposed(),vt.argMin(this,t)},t.prototype.argMax=function(t){return void 0===t&&(t=null),this.throwIfDisposed(),vt.argMax(this,t)},t.prototype.cast=function(t){return this.throwIfDisposed(),vt.cast(this,t)},t.prototype.add=function(t){return this.throwIfDisposed(),vt.add(this,t)},t.prototype.addStrict=function(t){return this.throwIfDisposed(),vt.addStrict(this,t)},t.prototype.atan2=function(t){return this.throwIfDisposed(),vt.atan2(this,t)},t.prototype.sub=function(t){return this.throwIfDisposed(),vt.sub(this,t)},t.prototype.subStrict=function(t){return this.throwIfDisposed(),vt.subStrict(this,t)},t.prototype.pow=function(t){return this.throwIfDisposed(),vt.pow(this,t)},t.prototype.powStrict=function(t){return this.throwIfDisposed(),vt.powStrict(this,t)},t.prototype.mul=function(t){return this.throwIfDisposed(),vt.mul(this,t)},t.prototype.mulStrict=function(t){return this.throwIfDisposed(),vt.mulStrict(this,t)},t.prototype.div=function(t){return this.throwIfDisposed(),vt.div(this,t)},t.prototype.floorDiv=function(t){return this.throwIfDisposed(),vt.floorDiv(this,t)},t.prototype.divStrict=function(t){return this.throwIfDisposed(),vt.divStrict(this,t)},t.prototype.minimum=function(t){return this.throwIfDisposed(),vt.minimum(this,t)},t.prototype.minimumStrict=function(t){return this.throwIfDisposed(),vt.minimumStrict(this,t)},t.prototype.maximum=function(t){return this.throwIfDisposed(),vt.maximum(this,t)},t.prototype.maximumStrict=function(t){return this.throwIfDisposed(),vt.maximumStrict(this,t)},t.prototype.mod=function(t){return this.throwIfDisposed(),vt.mod(this,t)},t.prototype.modStrict=function(t){return this.throwIfDisposed(),vt.modStrict(this,t)},t.prototype.squaredDifference=function(t){return this.throwIfDisposed(),vt.squaredDifference(this,t)},t.prototype.squaredDifferenceStrict=function(t){return this.throwIfDisposed(),vt.squaredDifferenceStrict(this,t)},t.prototype.transpose=function(t){return this.throwIfDisposed(),vt.transpose(this,t)},t.prototype.notEqual=function(t){return this.throwIfDisposed(),vt.notEqual(this,t)},t.prototype.notEqualStrict=function(t){return this.throwIfDisposed(),vt.notEqualStrict(this,t)},t.prototype.less=function(t){return this.throwIfDisposed(),vt.less(this,t)},t.prototype.lessStrict=function(t){return this.throwIfDisposed(),vt.lessStrict(this,t)},t.prototype.equal=function(t){return this.throwIfDisposed(),vt.equal(this,t)},t.prototype.equalStrict=function(t){return this.throwIfDisposed(),vt.equalStrict(this,t)},t.prototype.lessEqual=function(t){return this.throwIfDisposed(),vt.lessEqual(this,t)},t.prototype.lessEqualStrict=function(t){return this.throwIfDisposed(),vt.lessEqualStrict(this,t)},t.prototype.greater=function(t){return this.throwIfDisposed(),vt.greater(this,t)},t.prototype.greaterStrict=function(t){return this.throwIfDisposed(),vt.greaterStrict(this,t)},t.prototype.greaterEqual=function(t){return this.throwIfDisposed(),vt.greaterEqual(this,t)},t.prototype.greaterEqualStrict=function(t){return this.throwIfDisposed(),vt.greaterEqualStrict(this,t)},t.prototype.logicalAnd=function(t){return this.throwIfDisposed(),vt.logicalAnd(this,t)},t.prototype.logicalOr=function(t){return this.throwIfDisposed(),vt.logicalOr(this,t)},t.prototype.logicalNot=function(){return this.throwIfDisposed(),vt.logicalNot(this)},t.prototype.logicalXor=function(t){return this.throwIfDisposed(),vt.logicalXor(this,t)},t.prototype.where=function(t,e){return this.throwIfDisposed(),vt.where(t,this,e)},t.prototype.neg=function(){return this.throwIfDisposed(),vt.neg(this)},t.prototype.ceil=function(){return this.throwIfDisposed(),vt.ceil(this)},t.prototype.floor=function(){return this.throwIfDisposed(),vt.floor(this)},t.prototype.sign=function(){return this.throwIfDisposed(),vt.sign(this)},t.prototype.isNaN=function(){return this.throwIfDisposed(),vt.isNaN(this)},t.prototype.isInf=function(){return this.throwIfDisposed(),vt.isInf(this)},t.prototype.isFinite=function(){return this.throwIfDisposed(),vt.isFinite(this)},t.prototype.exp=function(){return this.throwIfDisposed(),vt.exp(this)},t.prototype.expm1=function(){return this.throwIfDisposed(),vt.expm1(this)},t.prototype.log=function(){return this.throwIfDisposed(),vt.log(this)},t.prototype.log1p=function(){return this.throwIfDisposed(),vt.log1p(this)},t.prototype.sqrt=function(){return this.throwIfDisposed(),vt.sqrt(this)},t.prototype.rsqrt=function(){return this.throwIfDisposed(),vt.rsqrt(this)},t.prototype.square=function(){return this.throwIfDisposed(),vt.square(this)},t.prototype.reciprocal=function(){return this.throwIfDisposed(),vt.reciprocal(this)},t.prototype.abs=function(){return this.throwIfDisposed(),vt.abs(this)},t.prototype.clipByValue=function(t,e){return this.throwIfDisposed(),vt.clipByValue(this,t,e)},t.prototype.relu=function(){return this.throwIfDisposed(),vt.relu(this)},t.prototype.relu6=function(){return this.throwIfDisposed(),vt.relu6(this)},t.prototype.elu=function(){return this.throwIfDisposed(),vt.elu(this)},t.prototype.selu=function(){return this.throwIfDisposed(),vt.selu(this)},t.prototype.leakyRelu=function(t){return void 0===t&&(t=.2),this.throwIfDisposed(),vt.leakyRelu(this,t)},t.prototype.prelu=function(t){return this.throwIfDisposed(),vt.prelu(this,t)},t.prototype.sigmoid=function(){return this.throwIfDisposed(),vt.sigmoid(this)},t.prototype.logSigmoid=function(){return this.throwIfDisposed(),vt.logSigmoid(this)},t.prototype.softplus=function(){return this.throwIfDisposed(),vt.softplus(this)},t.prototype.zerosLike=function(){return this.throwIfDisposed(),vt.zerosLike(this)},t.prototype.onesLike=function(){return this.throwIfDisposed(),vt.onesLike(this)},t.prototype.sin=function(){return this.throwIfDisposed(),vt.sin(this)},t.prototype.cos=function(){return this.throwIfDisposed(),vt.cos(this)},t.prototype.tan=function(){return this.throwIfDisposed(),vt.tan(this)},t.prototype.asin=function(){return this.throwIfDisposed(),vt.asin(this)},t.prototype.acos=function(){return this.throwIfDisposed(),vt.acos(this)},t.prototype.atan=function(){return this.throwIfDisposed(),vt.atan(this)},t.prototype.sinh=function(){return this.throwIfDisposed(),vt.sinh(this)},t.prototype.cosh=function(){return this.throwIfDisposed(),vt.cosh(this)},t.prototype.tanh=function(){return this.throwIfDisposed(),vt.tanh(this)},t.prototype.asinh=function(){return this.throwIfDisposed(),vt.asinh(this)},t.prototype.acosh=function(){return this.throwIfDisposed(),vt.acosh(this)},t.prototype.atanh=function(){return this.throwIfDisposed(),vt.atanh(this)},t.prototype.erf=function(){return this.throwIfDisposed(),vt.erf(this)},t.prototype.round=function(){return this.throwIfDisposed(),vt.round(this)},t.prototype.step=function(t){return void 0===t&&(t=0),this.throwIfDisposed(),vt.step(this,t)},t.prototype.softmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),vt.softmax(this,t)},t.prototype.logSoftmax=function(t){return void 0===t&&(t=-1),this.throwIfDisposed(),vt.logSoftmax(this,t)},t.prototype.resizeBilinear=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),vt.image.resizeBilinear(this,t,e)},t.prototype.resizeNearestNeighbor=function(t,e){return void 0===e&&(e=!1),this.throwIfDisposed(),vt.image.resizeNearestNeighbor(this,t,e)},t.prototype.conv1d=function(t,e,n,r,o,a){return void 0===r&&(r="NWC"),void 0===o&&(o=1),this.throwIfDisposed(),vt.conv1d(this,t,e,n,r,o,a)},t.prototype.conv2d=function(t,e,n,r,o,a){return void 0===r&&(r="NHWC"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),vt.conv2d(this,t,e,n,r,o,a)},t.prototype.conv2dTranspose=function(t,e,n,r,o){return this.throwIfDisposed(),vt.conv2dTranspose(this,t,e,n,r,o)},t.prototype.depthwiseConv2D=function(t,e,n,r,o,a){return void 0===r&&(r="NHWC"),void 0===o&&(o=[1,1]),this.throwIfDisposed(),vt.depthwiseConv2d(this,t,e,n,r,o,a)},t.prototype.separableConv2d=function(t,e,n,r,o,a){return void 0===o&&(o=[1,1]),void 0===a&&(a="NHWC"),this.throwIfDisposed(),vt.separableConv2d(this,t,e,n,r,o,a)},t.prototype.avgPool=function(t,e,n,r){return this.throwIfDisposed(),vt.avgPool(this,t,e,n,r)},t.prototype.maxPool=function(t,e,n,r){return this.throwIfDisposed(),vt.maxPool(this,t,e,n,r)},t.prototype.localResponseNormalization=function(t,e,n,r){return void 0===t&&(t=5),void 0===e&&(e=1),void 0===n&&(n=1),void 0===r&&(r=.5),vt.localResponseNormalization(this,t,e,n,r)},t.prototype.pool=function(t,e,n,r,o){return this.throwIfDisposed(),vt.pool(this,t,e,n,r,o)},t.prototype.variable=function(t,e,n){return void 0===t&&(t=!0),this.throwIfDisposed(),ft().makeVariable(this,t,e,n)},t.prototype.unsortedSegmentSum=function(t,e){return this.throwIfDisposed(),vt.unsortedSegmentSum(this,t,e)},t.prototype.batchToSpaceND=function(t,e){return this.throwIfDisposed(),vt.batchToSpaceND(this,t,e)},t.prototype.spaceToBatchND=function(t,e){return this.throwIfDisposed(),vt.spaceToBatchND(this,t,e)},t.prototype.topk=function(t,e){return void 0===t&&(t=1),void 0===e&&(e=!0),this.throwIfDisposed(),vt.topk(this,t,e)},t.prototype.stridedSlice=function(t,e,n,r,o,a,i,s){return void 0===r&&(r=0),void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),this.throwIfDisposed(),vt.stridedSlice(this,t,e,n,r,o,a,i,s)},t.prototype.depthToSpace=function(t,e){return this.throwIfDisposed(),vt.depthToSpace(this,t,e)},t.prototype.fft=function(){return this.throwIfDisposed(),vt.spectral.fft(this)},t.prototype.ifft=function(){return this.throwIfDisposed(),vt.spectral.ifft(this)},t.prototype.rfft=function(){return this.throwIfDisposed(),vt.spectral.rfft(this)},t.prototype.irfft=function(){return this.throwIfDisposed(),vt.spectral.irfft(this)},t}();exports.Tensor=gt,Object.defineProperty(gt,Symbol.hasInstance,{value:function(t){return!!t&&null!=t.dataId&&null!=t.shape&&null!=t.dtype}});var xt,yt,bt,wt,Ct,Et=function(t){function e(e,n,r,o){var a=t.call(this,e.shape,e.dtype,e.dataId,o)||this;return a.trainable=n,a.name=r,a}return o(e,t),e.prototype.assign=function(t){if(t.dtype!==this.dtype)throw new Error("dtype of the new value ("+t.dtype+") and previous value ("+this.dtype+") must match");if(!I(t.shape,this.shape))throw new Error("shape of the new value ("+t.shape+") and previous value ("+this.shape+") must match");ft().disposeTensor(this),this.dataId=t.dataId,ft().incRef(this,null)},e.prototype.dispose=function(){ft().disposeVariable(this),this.isDisposedInternal=!0},e}(gt);exports.Variable=Et,exports.Rank=xt,Object.defineProperty(Et,Symbol.hasInstance,{value:function(t){return t instanceof gt&&null!=t.assign&&t.assign instanceof Function}}),function(t){t.R0="R0",t.R1="R1",t.R2="R2",t.R3="R3",t.R4="R4",t.R5="R5",t.R6="R6"}(xt||(exports.Rank=xt={})),function(t){t.float32="float32",t.int32="int32",t.bool="int32",t.complex64="complex64"}(yt||(yt={})),function(t){t.float32="float32",t.int32="int32",t.bool="bool",t.complex64="complex64"}(bt||(bt={})),function(t){t.float32="float32",t.int32="float32",t.bool="float32",t.complex64="complex64"}(wt||(wt={})),function(t){t.float32="complex64",t.int32="complex64",t.bool="complex64",t.complex64="complex64"}(Ct||(Ct={}));var Rt={float32:wt,int32:yt,bool:bt,complex64:Ct};function It(t,e){if("string"===t||"string"===e){if("string"===t&&"string"===e)return"string";throw new Error("Can not upcast "+t+" with "+e)}return Rt[t][e]}function kt(t){return It(t,"int32")}function St(t,e){if(t.dtype===e.dtype)return[t,e];var n=It(t.dtype,e.dtype);return[t.cast(n),e.cast(n)]}function At(t,e){b(t.dtype===e.dtype,function(){return"The dtypes of the first("+t.dtype+") and second("+e.dtype+") input must match"})}function Dt(t){var e=[];return function t(e,n,r){if(null!=e)if(e instanceof gt)n.push(e);else if(o=e,Array.isArray(o)||"object"==typeof o){var o,a=e;for(var i in a){var s=a[i];r.has(s)||(r.add(s),t(s,n,r))}}}(t,e,new Set),e}var Tt,Nt=Object.freeze({makeTypesMatch:St,assertTypesMatch:At,isTensorInList:function(t,e){for(var n=0;n<e.length;n++)if(e[n].id===t.id)return!0;return!1},getTensorsInContainer:Dt}),Ft=function(){function t(){this.registeredVariables={},this.nextTapeNodeId=0,this.numBytes=0,this.numTensors=0,this.numStringTensors=0,this.numDataBuffers=0,this.gradientDepth=0,this.kernelDepth=0,this.scopeStack=[],this.numDataMovesStack=[],this.nextScopeId=0,this.tensorInfo=new WeakMap,this.profiling=!1,this.activeProfile={newBytes:0,newTensors:0,peakBytes:0,kernels:[],result:null}}return t.prototype.dispose=function(){for(var t in this.registeredVariables)this.registeredVariables[t].dispose()},t}(),Ot=function(){function t(t){this.ENV=t,this.registry={},this.registryFactory={},this.pendingBackendInitId=0,this.state=new Ft}return t.prototype.ready=function(){return a(this,void 0,void 0,function(){var t,e,n;return i(this,function(r){switch(r.label){case 0:if(null!=this.pendingBackendInit)return[2,this.pendingBackendInit.then(function(){})];if(null!=this.backendInstance)return[2];t=this.getSortedBackends(),e=0,r.label=1;case 1:return e<t.length?(n=t[e],[4,this.initializeBackend(n).success]):[3,5];case 2:return r.sent()?[4,this.setBackend(n)]:[3,4];case 3:return r.sent(),[2];case 4:return e++,[3,1];case 5:throw new Error("Could not initialize any backends, all backend initializations failed.")}})})},Object.defineProperty(t.prototype,"backend",{get:function(){if(null!=this.pendingBackendInit)throw new Error("Backend '"+this.backendName+"' has not yet been initialized. Make sure to await tf.ready() before calling other methods");if(null==this.backendInstance){var t=this.initializeBackendsAndReturnBest(),e=t.name;if(t.asyncInit)throw new Error("The highest priority backend '"+e+"' has not yet been initialized. Make sure to await tf.ready() before calling other methods");this.setBackend(e)}return this.backendInstance},enumerable:!0,configurable:!0}),t.prototype.backendNames=function(){return Object.keys(this.registryFactory)},t.prototype.findBackend=function(t){if(!(t in this.registry)){if(!(t in this.registryFactory))return null;if(this.initializeBackend(t).asyncInit)return null}return this.registry[t]},t.prototype.findBackendFactory=function(t){return t in this.registryFactory?this.registryFactory[t].factory:null},t.prototype.registerBackend=function(t,e,n){return void 0===n&&(n=1),t in this.registryFactory?(console.warn(t+" backend was already registered. Reusing existing backend factory."),!1):(this.registryFactory[t]={factory:e,priority:n},!0)},t.prototype.setBackend=function(t){return a(this,void 0,void 0,function(){var e,n,r;return i(this,function(o){switch(o.label){case 0:if(null==this.registryFactory[t])throw new Error("Backend name '"+t+"' not found in registry");return this.backendName=t,null!=this.registry[t]?[3,4]:(this.backendInstance=null,e=this.initializeBackend(t),n=e.success,e.asyncInit?[4,n]:[3,2]);case 1:return r=o.sent(),[3,3];case 2:r=n,o.label=3;case 3:if(!r)return[2,!1];o.label=4;case 4:return this.backendInstance=this.registry[t],this.setupRegisteredKernels(),this.profiler=new ot(this.backendInstance),[2,!0]}})})},t.prototype.setupRegisteredKernels=function(){var t=this;h(this.backendName).forEach(function(e){null!=e.setupFunc&&e.setupFunc(t.backendInstance)})},t.prototype.disposeRegisteredKernels=function(t){var e=this;h(t).forEach(function(n){null!=n.disposeFunc&&n.disposeFunc(e.registry[t])})},t.prototype.initializeBackend=function(t){var e=this,n=this.registryFactory[t];if(null==n)throw new Error("Cannot initialize backend "+t+", no registration found.");try{var r=n.factory();if(Promise.resolve(r)===r){var o=++this.pendingBackendInitId,a=r.then(function(n){return!(o<e.pendingBackendInitId||(e.registry[t]=n,e.pendingBackendInit=null,0))}).catch(function(n){return!(o<e.pendingBackendInitId||(e.pendingBackendInit=null,console.warn("Initialization of backend "+t+" failed"),console.warn(n.stack||n.message),1))});return this.pendingBackendInit=a,{success:a,asyncInit:!0}}return this.registry[t]=r,{success:!0,asyncInit:!1}}catch(e){return console.warn("Initialization of backend "+t+" failed"),console.warn(e.stack||e.message),{success:!1,asyncInit:!1}}},t.prototype.removeBackend=function(t){if(!(t in this.registryFactory))throw new Error(t+" backend not found in registry");this.backendName===t&&null!=this.pendingBackendInit&&this.pendingBackendInitId++,t in this.registry&&(this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t]),delete this.registryFactory[t],this.backendName===t&&(this.pendingBackendInit=null,this.backendName=null,this.backendInstance=null)},t.prototype.getSortedBackends=function(){var t=this;if(0===Object.keys(this.registryFactory).length)throw new Error("No backend found in registry.");return Object.keys(this.registryFactory).sort(function(e,n){return t.registryFactory[n].priority-t.registryFactory[e].priority})},t.prototype.initializeBackendsAndReturnBest=function(){for(var t=this.getSortedBackends(),e=0;e<t.length;e++){var n=t[e],r=this.initializeBackend(n),o=r.success,a=r.asyncInit;if(a||o)return{name:n,asyncInit:a}}throw new Error("Could not initialize any backends, all backend initializations failed.")},t.prototype.moveData=function(t,e){var n=this.state.tensorInfo.get(e),r=n.backend,o=this.readSync(e);r.disposeData(e),n.backend=t,t.move(e,o,n.shape,n.dtype),this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack[this.state.numDataMovesStack.length-1]++},t.prototype.tidy=function(t,e){var n,r=this,o=null;if(null==e){if("function"!=typeof t)throw new Error("Please provide a function to tidy()");e=t}else{if("string"!=typeof t&&!(t instanceof String))throw new Error("When calling with two arguments, the first argument to tidy() must be a string");if("function"!=typeof e)throw new Error("When calling with two arguments, the 2nd argument to tidy() must be a function");o=t}return this.scopedRun(function(){return r.startScope(o)},function(){return r.endScope(n)},function(){return(n=e())instanceof Promise&&console.error("Cannot return a Promise inside of tidy."),n})},t.prototype.scopedRun=function(t,e,n){t();try{var r=n();return e(),r}catch(t){throw e(),t}},t.prototype.nextTensorId=function(){return t.nextTensorId++},t.prototype.nextVariableId=function(){return t.nextVariableId++},t.prototype.clone=function(t){var e=this.makeTensorFromDataId(t.dataId,t.shape,t.dtype),n={x:t};return this.addTapeNode(this.state.activeScope.name,n,[e],function(t){return{x:function(){return t.toFloat()}}},[]),e},t.prototype.runKernel=function(t,e,n,r,o){return this.runKernelFunc(null,e,null,t,n,r,o)},t.prototype.shouldCheckForMemLeaks=function(){return this.ENV.getBool("IS_TEST")},t.prototype.checkKernelForMemLeak=function(t,e,n){var r=this.backend.numDataIds(),o=0;n.forEach(function(t){o+="complex64"===t.dtype?3:1});var a=this.state.numDataMovesStack[this.state.numDataMovesStack.length-1],i=r-e-o-a;if(i>0)throw new Error("Backend '"+this.backendName+"' has an internal memory leak ("+i+" data ids) after running '"+t+"'")},t.prototype.runKernelFunc=function(t,e,n,r,o,a,i){var s,u=this;void 0===a&&(a=[]),void 0===i&&(i=[]);var c,l=[],h=this.isTapeOn(),d=null!=this.state.activeScope?this.state.activeScope.name:"",f=function(t){h&&(l=t.map(function(t){return u.keep(u.clone(t))}))},v=this.state.numBytes,m=this.state.numTensors;this.shouldCheckForMemLeaks()&&this.state.numDataMovesStack.push(0);var g,x=p(r,this.backendName);return c=null!=x?function(){var t=u.backend.numDataIds();g=x.kernelFunc({inputs:e,attrs:o,backend:u.backend});var n=Array.isArray(g)?g:[g];u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(d,t,n);var r=n.map(function(t){var e=t.dataId,n=t.shape,r=t.dtype;return u.makeTensorFromDataId(e,n,r)}),s=r.filter(function(t,e){return i[e]});return f(a.slice().concat(s)),r}:function(){var e=u.backend.numDataIds();g=u.tidy(function(){return t(u.backend,f)});var n=Array.isArray(g)?g:[g];return u.shouldCheckForMemLeaks()&&u.checkKernelForMemLeak(d,e,n),n},this.scopedRun(function(){return u.state.kernelDepth++},function(){return u.state.kernelDepth--},function(){s=u.ENV.getBool("DEBUG")?u.profiler.profileKernel(d,e,function(){return c()}):c()}),h&&this.addTapeNode(d,e,s,n,l),this.state.profiling&&this.state.activeProfile.kernels.push({name:d,bytesAdded:this.state.numBytes-v,totalBytesSnapshot:this.state.numBytes,tensorsAdded:this.state.numTensors-m,totalTensorsSnapshot:this.state.numTensors,inputShapes:Object.keys(e).map(function(t){return e[t].shape}),outputShapes:s.map(function(t){return t.shape})}),Array.isArray(g)?s:s[0]},t.prototype.makeTensor=function(t,e,n,r){if(null==t)throw new Error("Values passed to engine.makeTensor() are null");n=n||"float32",r=r||this.backend;var o=t;"string"===n&&V(t[0])&&(o=t.map(function(t){return et(t)}));var a=r.write(o,e,n),i=new gt(e,n,a,this.nextTensorId());if(this.incRef(i,r),"string"===n){var s=this.state.tensorInfo.get(a),u=z(o);this.state.numBytes+=u-s.bytes,s.bytes=u}return i},t.prototype.makeTensorFromDataId=function(t,e,n,r){var o=new gt(e,n=n||"float32",t,this.nextTensorId());return this.incRef(o,r),o},t.prototype.makeVariable=function(t,e,n,r){void 0===e&&(e=!0),n=n||this.nextVariableId().toString(),null!=r&&r!==t.dtype&&(t=t.asType(r));var o=new Et(t,e,n,this.nextTensorId());if(null!=this.state.registeredVariables[o.name])throw new Error("Variable with name "+o.name+" was already registered");return this.state.registeredVariables[o.name]=o,this.incRef(o,this.backend),o},t.prototype.incRef=function(t,e){var n=this.state.tensorInfo.has(t.dataId)?this.state.tensorInfo.get(t.dataId).refCount:0;if(this.state.numTensors++,"string"===t.dtype&&this.state.numStringTensors++,0===n){this.state.numDataBuffers++;var r=0;"complex64"!==t.dtype&&"string"!==t.dtype&&(r=t.size*U(t.dtype)),this.state.tensorInfo.set(t.dataId,{backend:e||this.backend,dtype:t.dtype,shape:t.shape,bytes:r,refCount:0}),this.state.numBytes+=r}this.state.tensorInfo.get(t.dataId).refCount++,t instanceof Et||this.track(t)},t.prototype.disposeTensor=function(t){if(this.state.tensorInfo.has(t.dataId)){this.state.numTensors--,"string"===t.dtype&&this.state.numStringTensors--;var e=this.state.tensorInfo.get(t.dataId);e.refCount<=1?("complex64"!==t.dtype&&(this.state.numBytes-=e.bytes),this.state.numDataBuffers--,e.backend.disposeData(t.dataId),this.state.tensorInfo.delete(t.dataId)):this.state.tensorInfo.get(t.dataId).refCount--}},t.prototype.disposeVariables=function(){for(var t in this.state.registeredVariables){var e=this.state.registeredVariables[t];this.disposeVariable(e)}},t.prototype.disposeVariable=function(t){this.disposeTensor(t),null!=this.state.registeredVariables[t.name]&&delete this.state.registeredVariables[t.name]},t.prototype.memory=function(){var t=this.backend.memory();return t.numTensors=this.state.numTensors,t.numDataBuffers=this.state.numDataBuffers,t.numBytes=this.state.numBytes,this.state.numStringTensors>0&&(t.unreliable=!0,null==t.reasons&&(t.reasons=[]),t.reasons.push("Memory usage by string tensors is approximate (2 bytes per character)")),t},t.prototype.profile=function(t){return a(this,void 0,void 0,function(){var e,n;return i(this,function(r){return this.state.profiling=!0,e=this.state.numBytes,n=this.state.numTensors,this.state.activeProfile.kernels=[],this.state.activeProfile.result=t(),this.state.profiling=!1,this.state.activeProfile.peakBytes=Math.max.apply(Math,this.state.activeProfile.kernels.map(function(t){return t.totalBytesSnapshot})),this.state.activeProfile.newBytes=this.state.numBytes-e,this.state.activeProfile.newTensors=this.state.numTensors-n,[2,this.state.activeProfile]})})},t.prototype.isTapeOn=function(){return this.state.gradientDepth>0&&0===this.state.kernelDepth},t.prototype.addTapeNode=function(t,e,n,r,o){var a=this,i={id:this.state.nextTapeNodeId++,name:t,inputs:e,outputs:n,saved:o};null!=r&&(i.gradient=function(t){return t=t.map(function(t,e){if(null==t){var r=n[e],o=J(r.size,r.dtype);return a.makeTensor(o,r.shape,r.dtype)}return t}),r(t.length>1?t:t[0],o)}),this.state.activeTape.push(i)},t.prototype.keep=function(t){return t.kept=!0,t},t.prototype.startTape=function(){0===this.state.gradientDepth&&(this.state.activeTape=[]),this.state.gradientDepth++},t.prototype.endTape=function(){this.state.gradientDepth--},t.prototype.startScope=function(t){var e={track:[],name:"unnamed scope",id:this.state.nextScopeId++};t&&(e.name=t),this.state.scopeStack.push(e),this.state.activeScope=e},t.prototype.endScope=function(t){for(var e=this,n=Dt(t),r=new Set(n.map(function(t){return t.id})),o=0;o<this.state.activeScope.track.length;o++){var a=this.state.activeScope.track[o];a.kept||r.has(a.id)||a.dispose()}var i=this.state.scopeStack.pop();this.state.activeScope=0===this.state.scopeStack.length?null:this.state.scopeStack[this.state.scopeStack.length-1],n.forEach(function(t){t.kept||t.scopeId!==i.id||e.track(t)})},t.prototype.gradients=function(t,e,n,r){var o=this;if(void 0===r&&(r=!1),b(e.length>0,function(){return"gradients() received an empty list of xs."}),null!=n&&"float32"!==n.dtype)throw new Error("dy must have 'float32' dtype, but has '"+n.dtype+"'");var a=this.scopedRun(function(){return o.startTape()},function(){return o.endTape()},function(){return o.tidy("forward",t)});b(a instanceof gt,function(){return"The result y returned by f() must be a tensor."});var i=function(t,e,n){for(var r={},o={},a=0;a<e.length;a++)r[e[a].id]=!0;for(a=0;a<t.length;a++){var i=(f=t[a]).inputs;for(var s in i){for(var u=i[s],c=!1,l=0;l<e.length;l++)if(r[u.id]){f.outputs.forEach(function(t){return r[t.id]=!0}),c=!0,o[f.id]=!0;break}if(c)break}}var p={};p[n.id]=!0;var h={};for(a=t.length-1;a>=0;a--)for(i=(f=t[a]).inputs,l=0;l<f.outputs.length;l++)if(p[f.outputs[l].id]){for(var s in i)p[i[s].id]=!0,h[f.id]=!0;break}var d=[];for(a=0;a<t.length;a++){var f;if(o[(f=t[a]).id]&&h[f.id]){var v={};for(var s in f.inputs){var m=f.inputs[s];r[m.id]&&(v[s]=m)}var g=Object.assign({},f);g.inputs=v,g.outputs=f.outputs,d.push(g)}}return d}(this.state.activeTape,e,a);if(!r&&0===i.length&&e.length>0)throw new Error("Cannot compute gradient of y=f(x) with respect to x. Make sure that the f you passed encloses all operations that lead from x to y.");return this.tidy("backward",function(){var t,r,s={};s[a.id]=null==n?(r=Q(R(t=a.shape),"float32"),_t.makeTensor(r,t,"float32")):n,function(t,e,n){for(var r=function(r){var o=e[r],a=[];if(o.outputs.forEach(function(e){var n=t[e.id];null!=n?a.push(n):a.push(null)}),null==o.gradient)throw new Error("Cannot compute gradient: gradient function not found for "+o.name+".");var i=o.gradient(a),s=function(e){if(!(e in i))throw new Error("Cannot backprop through input "+e+". Available gradients found: "+Object.keys(i)+".");var r=n(function(){return i[e]()});if("float32"!==r.dtype)throw new Error("Error in gradient for op "+o.name+". The gradient of input "+e+" must have 'float32' dtype, but has '"+r.dtype+"'");var a=o.inputs[e];if(!I(r.shape,a.shape))throw new Error("Error in gradient for op "+o.name+". The gradient of input '"+e+"' has shape '"+r.shape+"', which does not match the shape of the input '"+a.shape+"'");if(null==t[a.id])t[a.id]=r;else{var s=t[a.id];t[a.id]=s.add(r),s.dispose()}};for(var u in o.inputs)s(u)},o=e.length-1;o>=0;o--)r(o)}(s,i,function(t){return o.tidy(t)});var u=e.map(function(t){return s[t.id]});return 0===o.state.gradientDepth&&(o.state.activeTape.forEach(function(t){for(var e in t.saved)t.saved[e].dispose()}),o.state.activeTape=null),{value:a,grads:u}})},t.prototype.customGrad=function(t){var e=this;return b(K(t),function(){return"The f passed in customGrad(f) must be a function."}),function(){for(var n,r=[],o=0;o<arguments.length;o++)r[o]=arguments[o];b(r.every(function(t){return t instanceof gt}),function(){return"The args passed in customGrad(f)(x1, x2,...) must all be tensors"});var a={};return r.forEach(function(t,e){a[e]=t}),e.runKernelFunc(function(e,o){return b((n=t.apply(void 0,r.concat([o]))).value instanceof gt,function(){return"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor"}),b(K(n.gradFunc),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function."}),n.value},a,function(t,e){var o=n.gradFunc(t,e),a=Array.isArray(o)?o:[o];b(a.length===r.length,function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns the same number of tensors as inputs passed to f(...)."}),b(a.every(function(t){return t instanceof gt}),function(){return"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors."});var i={};return a.forEach(function(t,e){i[e]=function(){return t}}),i})}},t.prototype.readSync=function(t){return this.state.tensorInfo.get(t).backend.readSync(t)},t.prototype.read=function(t){return this.state.tensorInfo.get(t).backend.read(t)},t.prototype.fromPixels=function(t,e){return this.backend.fromPixels(t,e)},t.prototype.time=function(t){return a(this,void 0,void 0,function(){var e,n;return i(this,function(r){switch(r.label){case 0:return e=Z(),[4,this.backend.time(t)];case 1:return(n=r.sent()).wallMs=Z()-e,[2,n]}})})},t.prototype.track=function(t){return null!=this.state.activeScope&&(t.scopeId=this.state.activeScope.id,this.state.activeScope.track.push(t)),t},Object.defineProperty(t.prototype,"registeredVariables",{get:function(){return this.state.registeredVariables},enumerable:!0,configurable:!0}),t.prototype.reset=function(){for(var t in this.pendingBackendInitId++,this.state.dispose(),this.ENV.reset(),this.state=new Ft,this.registry)this.disposeRegisteredKernels(t),this.registry[t].dispose(),delete this.registry[t];this.backendName=null,this.backendInstance=null,this.pendingBackendInit=null},t.nextTensorId=0,t.nextVariableId=0,t}();exports.tensor_util=Nt;var _t=function(){var n=function(){if(null==Tt){var n=void 0;if("undefined"!=typeof window)n=window;else if(void 0!==t)n=t;else if(void 0!==e)n=e;else{if("undefined"==typeof self)throw new Error("Could not find a global object");n=self}Tt=n}return Tt}();if(null==n._tfengine){var r=new s(n);n._tfengine=new Ot(r)}return function(t){exports.ENV=c=t}(n._tfengine.ENV),ft=function(){return n._tfengine},n._tfengine}();function Mt(){return"undefined"!=typeof window&&null!=window.document||"undefined"!=typeof WorkerGlobalScope}var Bt=u();Bt.registerFlag("DEBUG",function(){return!1},function(t){t&&console.warn("Debugging mode is ON. The output of every math call will be downloaded to CPU and checked for NaNs. This significantly impacts performance.")}),Bt.registerFlag("IS_BROWSER",function(){return Mt()}),Bt.registerFlag("IS_NODE",function(){return void 0!==e&&void 0!==e.versions&&void 0!==e.versions.node}),Bt.registerFlag("IS_CHROME",function(){return"undefined"!=typeof navigator&&null!=navigator&&null!=navigator.userAgent&&/Chrome/.test(navigator.userAgent)&&/Google Inc/.test(navigator.vendor)}),Bt.registerFlag("PROD",function(){return!1}),Bt.registerFlag("TENSORLIKE_CHECK_SHAPE_CONSISTENCY",function(){return Bt.getBool("DEBUG")}),Bt.registerFlag("DEPRECATION_WARNINGS_ENABLED",function(){return!0}),Bt.registerFlag("IS_TEST",function(){return!1});var Pt,Lt,Wt,Ut={},zt={alpha:!1,antialias:!1,premultipliedAlpha:!1,preserveDrawingBuffer:!1,depth:!1,stencil:!1,failIfMajorPerformanceCaveat:!0};function Vt(t,e){Ut[t]=e}function Gt(t){t in Ut||(Ut[t]=function(t){if(1!==t&&2!==t)throw new Error("Cannot get WebGL rendering context, WebGL is disabled.");var e=Ht(t);return e.addEventListener("webglcontextlost",function(e){e.preventDefault(),delete Ut[t]},!1),1===t?e.getContext("webgl",zt)||e.getContext("experimental-webgl",zt):e.getContext("webgl2",zt)}(t));var e=Ut[t];return e.isContextLost()?(delete Ut[t],Gt(t)):(e.disable(e.DEPTH_TEST),e.disable(e.STENCIL_TEST),e.disable(e.BLEND),e.disable(e.DITHER),e.disable(e.POLYGON_OFFSET_FILL),e.disable(e.SAMPLE_COVERAGE),e.enable(e.SCISSOR_TEST),e.enable(e.CULL_FACE),e.cullFace(e.BACK),Ut[t])}function Ht(t){if("undefined"!=typeof OffscreenCanvas&&2===t)return new OffscreenCanvas(300,150);if("undefined"!=typeof document)return document.createElement("canvas");throw new Error("Cannot create a canvas in this context")}function qt(t,e){return[e,t]}function Kt(t){var e=R(t);return A(Math.ceil(e/4))}function jt(t,e){return[Math.max(1,Math.ceil(e/2)),Math.max(1,Math.ceil(t/2))]}function Xt(t,e){var n,r,o,a,i,s,c,l,p,h=t;return 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Change the stride and/or zero pad parameters"}),[i,s]}([e,n],a,r,t,s);c=p[0],l=p[1]}else if("same"===t){c=Math.ceil(e/r),l=Math.ceil(n/o);var h=Math.max(0,(c-1)*r+a-e),d=Math.max(0,(l-1)*o+i-n),f=Math.floor(h/2),v=h-f,m=Math.floor(d/2);u={top:f,bottom:v,left:m,right:d-m,type:"SAME"}}else{if("valid"!==t)throw Error("Unknown padding parameter: "+t);u={top:0,bottom:0,left:0,right:0,type:"VALID"},c=Math.ceil((e-a+1)/r),l=Math.ceil((n-i+1)/o)}return{padInfo:u,outHeight:c,outWidth:l}}(o,l,p,x,y,R,I,a),A=S.padInfo,D=S.outHeight,T=S.outWidth,N=i?m*h:m;return"channelsFirst"===s?d=[c,N,D,T]:"channelsLast"===s&&(d=[c,D,T,N]),{batchSize:c,dataFormat:s,inHeight:l,inWidth:p,inChannels:h,outHeight:D,outWidth:T,outChannels:N,padInfo:A,strideHeight:x,strideWidth:y,filterHeight:f,filterWidth:v,effectiveFilterHeight:R,effectiveFilterWidth:I,dilationHeight:C,dilationWidth:E,inShape:t,outShape:d,filterShape:e}}function wo(t,e,n,r,o,a,i,s){void 0===a&&(a=!1),void 0===i&&(i="channelsLast");var u=[-1,-1,-1,-1,-1],c=u[0],l=u[1],p=u[2],h=u[3],d=u[4];if("channelsLast"===i)c=t[0],l=t[1],p=t[2],h=t[3],d=t[4];else{if("channelsFirst"!==i)throw new Error("Unknown dataFormat "+i);c=t[0],d=t[1],l=t[2],p=t[3],h=t[4]}var f,v=e[0],m=e[1],g=e[2],x=e[4],y=Ro(n),w=y[0],C=y[1],E=y[2],R=Ro(r),I=R[0],S=R[1],A=R[2],D=Io(v,I),T=Io(m,S),N=Io(g,A),F=function(t,e,n,r,o,a,i,s,u,c,l){var p,h,d,f;if("number"==typeof t){p={top:t,bottom:t,left:t,right:t,front:t,back:t,type:0===t?"VALID":"NUMBER"};var v=function(t,e,n,r,o,a){null==o&&(o=Co(t,e,r));var i=t[1],s=t[2],u=ko((t[0]-e+2*o)/r+1,a);b(k(u),function(){return"The output # of depths ("+u+") must be an integer. Change the stride and/or zero pad parameters"});var c=ko((i-e+2*o)/r+1,a);b(k(c),function(){return"The output # of rows ("+c+") must be an integer. Change the stride and/or zero pad parameters"});var l=ko((s-e+2*o)/r+1,a);return b(k(l),function(){return"The output # of columns ("+l+") must be an integer. Change the stride and/or zero pad parameters"}),[u,c,l,1]}([e,n,r,1],s,0,o,t,l);h=v[0],d=v[1],f=v[2]}else if("same"===t){var m=((h=Math.ceil(e/o))-1)*o+s-e,g=((d=Math.ceil(n/a))-1)*a+u-n,x=((f=Math.ceil(r/i))-1)*i+c-r,y=Math.floor(m/2),w=m-y,C=Math.floor(g/2),E=g-C,R=Math.floor(x/2);p={top:C,bottom:E,left:R,right:x-R,front:y,back:w,type:"SAME"}}else{if("valid"!==t)throw Error("Unknown padding parameter: "+t);p={top:0,bottom:0,left:0,right:0,front:0,back:0,type:"VALID"},h=Math.ceil((e-s+1)/o),d=Math.ceil((n-u+1)/a),f=Math.ceil((r-c+1)/i)}return{padInfo:p,outDepth:h,outHeight:d,outWidth:f}}(o,l,p,h,w,C,E,D,T,N,s),O=F.padInfo,_=F.outDepth,M=F.outHeight,B=F.outWidth,P=a?x*d:x;return"channelsFirst"===i?f=[c,P,_,M,B]:"channelsLast"===i&&(f=[c,_,M,B,P]),{batchSize:c,dataFormat:i,inDepth:l,inHeight:p,inWidth:h,inChannels:d,outDepth:_,outHeight:M,outWidth:B,outChannels:P,padInfo:O,strideDepth:w,strideHeight:C,strideWidth:E,filterDepth:v,filterHeight:m,filterWidth:g,effectiveFilterDepth:D,effectiveFilterHeight:T,effectiveFilterWidth:N,dilationDepth:I,dilationHeight:S,dilationWidth:A,inShape:t,outShape:f,filterShape:e}}function Co(t,e,n,r){void 0===r&&(r=1);var o=Io(e,r);return Math.floor((t[0]*(n-1)-n+o)/2)}function Eo(t){return"number"==typeof t?[t,t,t]:2===t.length?[t[0],t[1],1]:t}function Ro(t){return"number"==typeof t?[t,t,t]:t}function Io(t,e){return e<=1?t:t+(t-1)*(e-1)}function ko(t,e){if(!e)return t;switch(e){case"round":return Math.round(t);case"ceil":return Math.ceil(t);case"floor":return Math.floor(t);default:throw new Error("Unknown roundingMode "+e)}}function So(t){var e=Eo(t),n=e[0],r=e[1],o=e[2];return 1===n&&1===r&&1===o}function Ao(t,e){return So(t)||So(e)}function Do(t){if("NHWC"===t)return"channelsLast";if("NCHW"===t)return"channelsFirst";throw new Error("Unknown dataFormat "+t)}function To(t,e,n){if("complex64"===e){if("complex64"===t.dtype)return t.clone();var r=Un(t.shape),o=t.toFloat(),a=n.complex(o,r);return r.dispose(),o.dispose(),a}if(!L(t.dtype,e))return _t.makeTensorFromDataId(t.dataId,t.shape,e);if("complex64"===t.dtype){var i=n.real(t);return a=i.cast(e),i.dispose(),a}if("int32"===e)return n.int(t);if("bool"===e){var s=Nn(0,t.dtype);return a=n.notEqual(t,s),s.dispose(),a}throw new Error("Error in Cast: failed to cast "+t.dtype+" to "+e)}function No(t,e){return _t.makeTensorFromDataId(t.dataId,e,t.dtype)}function Fo(t,e,n){var r=(e-t)/(n-1),o=J(n,"float32");o[0]=t;for(var a=1;a<o.length;a++)o[a]=o[a-1]+r;return Fn(o,"float32")}exports.KernelBackend=ho,exports.DataStorage=po,exports.logSoftmax=lo,exports.softmax=co;var Oo=Object.freeze({castTensor:To,reshapeTensor:No,linspaceImpl:Fo,upcastType:It,axesAreInnerMostDims:vn,combineLocations:mn,computeOutAndReduceShapes:gn,expandShapeToKeepDim:xn,assertAxesAreInnerMostDims:yn,getAxesPermutation:bn,getUndoAxesPermutation:wn,getInnerMostAxes:Cn,getBroadcastDims:vo,getReductionAxes:mo,assertAndGetBroadcastShape:go,assertParamsConsistent:En,computeOutShape:Rn,computePool2DInfo:xo,computePool3DInfo:yo,computeConv2DInfo:bo,computeConv3DInfo:wo,computeDefaultPad:Co,tupleValuesAreOne:So,eitherStridesOrDilationsAreOne:Ao,convertConv2DDataFormat:Do});function _o(t,e){if(t.length!==e.length)throw new Error("Cannot merge real and imag arrays of different lengths. real:"+t.length+", imag: "+e.length+".");for(var n=new Float32Array(2*t.length),r=0;r<n.length;r+=2)n[r]=t[r/2],n[r+1]=e[r/2];return n}function Mo(t,e){return{real:t[2*e],imag:t[2*e+1]}}function Bo(t,e,n,r){t[2*r]=e,t[2*r+1]=n}function Po(t,e,n){var r=(n?2:-2)*Math.PI*(t/e);return{real:Math.cos(r),imag:Math.sin(r)}}function Lo(t,e,n,r,o){for(var a=Array.from(e).map(function(t,e){return{score:t,boxIndex:e}}).filter(function(t){return t.score>o}).sort(function(t,e){return e.score-t.score}),i=[],s=0;s<a.length;s++){var u=a[s],c=u.score,l=u.boxIndex;if(c<o)break;for(var p=!1,h=i.length-1;h>=0;--h)if(Wo(t,l,i[h])>=r){p=!0;break}if(!p&&(i.push(l),i.length>=n))break}return Fn(i,"int32")}function Wo(t,e,n){var r=t.subarray(4*e,4*e+4),o=t.subarray(4*n,4*n+4),a=Math.min(r[0],r[2]),i=Math.min(r[1],r[3]),s=Math.max(r[0],r[2]),u=Math.max(r[1],r[3]),c=Math.min(o[0],o[2]),l=Math.min(o[1],o[3]),p=Math.max(o[0],o[2]),h=Math.max(o[1],o[3]),d=(s-a)*(u-i),f=(p-c)*(h-l);if(d<=0||f<=0)return 0;var v=Math.max(a,c),m=Math.max(i,l),g=Math.min(s,p),x=Math.min(u,h),y=Math.max(g-v,0)*Math.max(x-m,0);return y/(d+f-y)}function Uo(t,e,n){var r=new Array(t.rank).fill(0),o=t.shape.slice();return e.map(function(e){o[n]=e;var a=t.slice(r,o);return r[n]+=e,a})}function zo(t,e){for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[r]*e[r];var o=lr(n,t.dtype);for(r=0;r<o.values.length;++r){for(var a=o.indexToLoc(r),i=new Array(t.rank),s=0;s<i.length;s++)i[s]=a[s]%t.shape[s];var u=t.locToIndex(i);o.values[r]=t.values[u]}return o.toTensor()}function Vo(t,e,n,r,o){for(var a=e[e.length-1],i=[t.length/a,a],s=i[0],u=i[1],c=_(n,s*r),l=_("int32",s*r),p=0;p<s;p++){for(var h=p*u,d=t.subarray(h,h+u),f=[],v=0;v<d.length;v++)f.push({value:d[v],index:v});f.sort(function(t,e){return e.value-t.value});var m=p*r,g=c.subarray(m,m+r),x=l.subarray(m,m+r);for(v=0;v<r;v++)g[v]=f[v].value,x[v]=f[v].index}var y=e.slice();return y[y.length-1]=r,[Dn(c,y,n),Dn(l,y,"int32")]}function Go(t,e){for(var n=[],r=0;r<e.length;r++)e[r]&&n.push(r);var o=lr(t,"int32"),a=lr([n.length,t.length],"int32");for(r=0;r<n.length;r++){var i=o.indexToLoc(n[r]),s=r*t.length;a.values.set(i,s)}return a.toTensor()}exports.backend_util=Oo;var Ho=function(t,e){this.outputShape=[],this.outputShape=t,this.variableNames=e.map(function(t,e){return"T"+e});var n=[];this.variableNames.forEach(function(t){n.push("float v"+t+" = get"+t+"AtOutCoords();")});var r=this.variableNames.map(function(t){return"v"+t}).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        float result = "+r+";\n        setOutput(result);\n      }\n    "},qo=function(t,e){this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.variableNames=e.map(function(t,e){return"T"+e});var n=[];this.variableNames.forEach(function(t){n.push("vec4 v"+t+" = get"+t+"AtOutCoords();")});var r=this.variableNames.map(function(t){return"v"+t}).join(" + ");this.userCode="\n      void main() {\n        "+n.join("\n        ")+"\n\n        vec4 result = "+r+";\n        setOutput(result);\n      }\n    "},Ko=function(t,e,n){this.variableNames=["A"];var r=t.windowSize,o=t.batchSize,a=t.inSize,i=Math.ceil(a/r);n||this.variableNames.push("bestIndicesA"),this.outputShape=[o,i];var s="max"===e?">":"<",u=n?"inOffset + i;":"round(getBestIndicesA(batch, inOffset + i));";this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+r+";\n\n        int bestIndex = inOffset;\n        float bestValue = getA(batch, bestIndex);\n\n        for (int i = 0; i < "+r+"; i++) {\n          int inIdx = "+u+";\n          float candidate = getA(batch, inIdx);\n          if (candidate "+s+" bestValue) {\n            bestValue = candidate;\n            bestIndex = inIdx;\n          }\n        }\n        setOutput(float(bestIndex));\n      }\n    "};function jo(t,e){return["x","y","z","w","u","v"].slice(0,e).map(function(e){return t+"."+e})}function Xo(t,e){return 1===e?[t]:jo(t,e)}function $o(){var t,e,n,r,o,a,i,s,c,l;return 2===u().getNumber("WEBGL_VERSION")?(t="#version 300 es",e="in",n="out",r="in",o="texture",a="outputColor",i="out vec4 outputColor;",s="\n      bool isnan_custom(float val) {\n        return (val > 0.0 || val < 0.0) ? false : val != 0.0;\n      }\n\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan_custom(val.x),\n          isnan_custom(val.y), isnan_custom(val.z), isnan_custom(val.w));\n      }\n\n      #define isnan(value) isnan_custom(value)\n    ",c="",l="\n      #define round(value) newRound(value)\n      int newRound(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 newRound(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "):(t="",e="attribute",n="varying",r="varying",o="texture2D",a="gl_FragColor",i="",s="\n      #define isnan(value) isnan_custom(value)\n      bool isnan_custom(float val) {\n        return (val > 0. || val < 1. || val == 0.) ? false : true;\n      }\n      bvec4 isnan_custom(vec4 val) {\n        return bvec4(isnan(val.x), isnan(val.y), isnan(val.z), isnan(val.w));\n      }\n    ",c="\n      uniform float INFINITY;\n\n      bool isinf(float val) {\n        return abs(val) == INFINITY;\n      }\n      bvec4 isinf(vec4 val) {\n        return equal(abs(val), vec4(INFINITY));\n      }\n    ",l="\n      int round(float value) {\n        return int(floor(value + 0.5));\n      }\n\n      ivec4 round(vec4 value) {\n        return ivec4(floor(value + vec4(0.5)));\n      }\n    "),{version:t,attribute:e,varyingVs:n,varyingFs:r,texture2D:o,output:a,defineOutput:i,defineSpecialNaN:s,defineSpecialInf:c,defineRound:l}}function Yo(t,e,n){void 0===n&&(n="index");var r=X(e);return r.map(function(e,o){return"int "+t[o]+" = "+n+" / "+e+"; "+(o===r.length-1?"int "+t[o+1]+" = "+n+" - "+t[o]+" * "+e:"index -= "+t[o]+" * "+e)+";"}).join("")}function Qo(t){var e=X(t).map(function(t){return t.toString()});return"\n  int getFlatIndex(ivec3 coords) {\n    return coords.x * "+e[0]+" + coords.y * "+e[1]+" + coords.z;\n  }\n"}var Jo="\n  const float FLOAT_MAX = 1.70141184e38;\n  const float FLOAT_MIN = 1.17549435e-38;\n\n  lowp vec4 encode_float(highp float v) {\n    if (isnan(v)) {\n      return vec4(255, 255, 255, 255);\n    }\n\n    highp float av = abs(v);\n\n    if(av < FLOAT_MIN) {\n      return vec4(0.0, 0.0, 0.0, 0.0);\n    } else if(v > FLOAT_MAX) {\n      return vec4(0.0, 0.0, 128.0, 127.0) / 255.0;\n    } else if(v < -FLOAT_MAX) {\n      return vec4(0.0, 0.0,  128.0, 255.0) / 255.0;\n    }\n\n    highp vec4 c = vec4(0,0,0,0);\n\n    highp float e = floor(log2(av));\n    highp float m = exp2(fract(log2(av))) - 1.0;\n\n    c[2] = floor(128.0 * m);\n    m -= c[2] / 128.0;\n    c[1] = floor(32768.0 * m);\n    m -= c[1] / 32768.0;\n    c[0] = floor(8388608.0 * m);\n\n    highp float ebias = e + 127.0;\n    c[3] = floor(ebias / 2.0);\n    ebias -= c[3] * 2.0;\n    c[2] += floor(ebias) * 128.0;\n\n    c[3] += 128.0 * step(0.0, -v);\n\n    return c / 255.0;\n  }\n";function Zo(t,e,n,r){var o=[];t.forEach(function(t){var e=R(t.shapeInfo.logicalShape);t.shapeInfo.isUniform?o.push("uniform float "+t.name+(e>1?"["+e+"]":"")+";"):(o.push("uniform sampler2D "+t.name+";"),o.push("uniform int offset"+t.name+";"))});var a,i,s=o.join("\n"),u=t.map(function(t){return function(t,e,n){void 0===n&&(n=!1);var r="";r+=n?ea(t):ta(t);var o=t.shapeInfo.logicalShape,a=e.logicalShape;return o.length<=a.length&&(r+=n?function(t,e){var n,r=t.name,o=r.charAt(0).toUpperCase()+r.slice(1),a="get"+o+"AtOutCoords",i=t.shapeInfo.logicalShape.length,s=e.logicalShape.length,u=vo(t.shapeInfo.logicalShape,e.logicalShape),c=ua(s),l=s-i,p=["x","y","z","w","u","v"];n=0===i?"":s<2&&u.length>=1?"coords = 0;":u.map(function(t){return"coords."+p[t+l]+" = 0;"}).join("\n");var h;h=s<2&&i>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+p[e+l]}).join(", ");var d="return outputValue;",f=1===R(t.shapeInfo.logicalShape),v=1===R(e.logicalShape);if(1!==i||f||v){if(f&&!v)d=1===s?"\n        return vec4(outputValue.x, outputValue.x, 0., 0.);\n      ":"\n        return vec4(outputValue.x);\n      ";else if(u.length){var m=i-2,g=i-1;u.indexOf(m)>-1&&u.indexOf(g)>-1?d="return vec4(outputValue.x);":u.indexOf(m)>-1?d="return vec4(outputValue.x, outputValue.y, outputValue.x, outputValue.y);":u.indexOf(g)>-1&&(d="return vec4(outputValue.xx, outputValue.zz);")}}else d="\n      return vec4(outputValue.xy, outputValue.xy);\n    ";return"\n    vec4 "+a+"() {\n      "+c+" coords = getOutputCoords();\n      "+n+"\n      vec4 outputValue = get"+o+"("+h+");\n      "+d+"\n    }\n  "}(t,e):function(t,e){var n=t.name,r=n.charAt(0).toUpperCase()+n.slice(1),o="get"+r+"AtOutCoords",a=e.texShape,i=t.shapeInfo.texShape,s=t.shapeInfo.logicalShape.length,u=e.logicalShape.length;if(!t.shapeInfo.isUniform&&s===u&&null==t.shapeInfo.flatOffset&&I(i,a))return"\n      float "+o+"() {\n        return sampleTexture("+n+", resultUV);\n      }\n    ";var c=ua(u),l=vo(t.shapeInfo.logicalShape,e.logicalShape),p=u-s,h=["x","y","z","w","u","v"];return"\n    float "+o+"() {\n      "+c+" coords = getOutputCoords();\n      "+(0===s?"":u<2&&l.length>=1?"coords = 0;":l.map(function(t){return"coords."+h[t+p]+" = 0;"}).join("\n"))+"\n      return get"+r+"("+(u<2&&s>0?"coords":t.shapeInfo.logicalShape.map(function(t,e){return"coords."+h[e+p]}).join(", "))+");\n    }\n  "}(t,e)),r}(t,e,r)}).join("\n"),c=e.texShape,l=$o(),p="\n    float sampleTexture(sampler2D textureSampler, vec2 uv) {\n      return "+l.texture2D+"(textureSampler, uv).r;\n    }\n  ",h=function(t){return t.version+"\n    precision highp float;\n    precision highp int;\n    precision highp sampler2D;\n    "+t.varyingFs+" vec2 resultUV;\n    "+t.defineOutput+"\n    const vec2 halfCR = vec2(0.5, 0.5);\n\n    struct ivec5\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n    };\n\n    struct ivec6\n    {\n      int x;\n      int y;\n      int z;\n      int w;\n      int u;\n      int v;\n    };\n\n    uniform float NAN;\n    "+t.defineSpecialNaN+"\n    "+t.defineSpecialInf+"\n    "+t.defineRound+"\n\n    int imod(int x, int y) {\n      return x - y * (x / y);\n    }\n\n    int idiv(int a, int b, float sign) {\n      int res = a / b;\n      int mod = imod(a, b);\n      if (sign < 0. && mod != 0) {\n        res -= 1;\n      }\n      return res;\n    }\n\n    //Based on the work of Dave Hoskins\n    //https://www.shadertoy.com/view/4djSRW\n    #define HASHSCALE1 443.8975\n    float random(float seed){\n      vec2 p = resultUV * seed;\n      vec3 p3  = fract(vec3(p.xyx) * HASHSCALE1);\n      p3 += dot(p3, p3.yzx + 19.19);\n      return fract((p3.x + p3.y) * p3.z);\n    }\n\n    "+na+"\n    "+ra+"\n    "+oa+"\n  "}(l);return e.isPacked?(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];return 1===n[0]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.x * "+n[1]+".0);\n      }\n    ":1===n[1]?"\n      int getOutputCoords() {\n        return 2 * int(resultUV.y * "+n[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      return 2 * (resTexRC.x * "+n[1]+" + resTexRC.y);\n    }\n  "}(0,e);case 2:return function(t,e){var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)];if(I(t,e))return"\n      ivec2 getOutputCoords() {\n        return 2 * ivec2(resultUV.yx * vec2("+n[0]+", "+n[1]+"));\n      }\n    ";var r=Math.ceil(t[1]/2);return"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=t,r=e,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],i=(a=Math.ceil(n[2]/2))*Math.ceil(n[1]/2),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+o[0]+", "+o[1]+"));\n      int index = resTexRC.x * "+o[1]+" + resTexRC.y;\n\n      int b = index / "+i+";\n      index -= b * "+i+";\n\n      int r = 2 * (index / "+a+");\n      int c = imod(index, "+a+") * 2;\n\n      return ivec3(b, r, c);\n    }\n  ";default:return function(t,e){for(var n=[Math.ceil(e[0]/2),Math.ceil(e[1]/2)],r=Math.ceil(t[t.length-1]/2),o=r*Math.ceil(t[t.length-2]/2),a=o,i="",s="b, r, c",u=2;u<t.length-1;u++)i="\n      int b"+u+" = index / "+(a*=t[t.length-u-1])+";\n      index -= b"+u+" * "+a+";\n    "+i,s="b"+u+", "+s;return"\n    ivec"+t.length+" getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n\n      "+i+"\n\n      int b = index / "+o+";\n      index -= b * "+o+";\n\n      int r = 2 * (index / "+r+");\n      int c = imod(index, "+r+") * 2;\n\n      return ivec"+t.length+"("+s+");\n    }\n  "}(t,e)}var n,r,o,a,i}(e.logicalShape,c),i="\n    void setOutput(vec4 val) {\n      "+l.output+" = val;\n    }\n  "):(a=function(t,e){switch(t.length){case 0:return"\n    int getOutputCoords() {\n      return 0;\n    }\n  ";case 1:return function(t,e){return 1===e[0]?"\n      int getOutputCoords() {\n        return int(resultUV.x * "+e[1]+".0);\n      }\n    ":1===e[1]?"\n      int getOutputCoords() {\n        return int(resultUV.y * "+e[0]+".0);\n      }\n    ":"\n    int getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      return resTexRC.x * "+e[1]+" + resTexRC.y;\n    }\n  "}(0,e);case 2:return function(t,e){return I(t,e)?"\n      ivec2 getOutputCoords() {\n        return ivec2(resultUV.yx * vec2("+e[0]+", "+e[1]+"));\n      }\n    ":1===t[1]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(index, 0);\n      }\n    ":1===t[0]?"\n      ivec2 getOutputCoords() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n                               vec2("+e[0]+", "+e[1]+"));\n        int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n        return ivec2(0, index);\n      }\n    ":"\n    ivec2 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      int r = index / "+t[1]+";\n      int c = index - r * "+t[1]+";\n      return ivec2(r, c);\n    }\n  "}(t,e);case 3:return n=e,r=Yo(["r","c","d"],t),"\n    ivec3 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n                             vec2("+n[0]+", "+n[1]+"));\n      int index = resTexRC.x * "+n[1]+" + resTexRC.y;\n      "+r+"\n      return ivec3(r, c, d);\n    }\n  ";case 4:return function(t,e){var n=Yo(["r","c","d","d2"],t);return"\n    ivec4 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n      "+n+"\n      return ivec4(r, c, d, d2);\n    }\n  "}(t,e);case 5:return function(t,e){var n=Yo(["r","c","d","d2","d3"],t);return"\n    ivec5 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx * vec2("+e[0]+",\n                             "+e[1]+"));\n\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec5 outShape = ivec5(r, c, d, d2, d3);\n      return outShape;\n    }\n  "}(t,e);case 6:return function(t,e){var n=Yo(["r","c","d","d2","d3","d4"],t);return"\n    ivec6 getOutputCoords() {\n      ivec2 resTexRC = ivec2(resultUV.yx *\n        vec2("+e[0]+", "+e[1]+"));\n      int index = resTexRC.x * "+e[1]+" + resTexRC.y;\n\n      "+n+"\n\n      ivec6 result = ivec6(r, c, d, d2, d3, d4);\n      return result;\n    }\n  "}(t,e);default:throw new Error(t.length+"-D output sampling is not yet supported")}var n,r}(e.logicalShape,c),i="\n    void setOutput(float val) {\n      "+l.output+" = vec4(val, 0, 0, 0);\n    }\n  "),r&&(h+=aa),[h,p,i,s,a,u,n].join("\n")}function ta(t){var e=t.shapeInfo.logicalShape;switch(e.length){case 0:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"float "+n+"() {return "+e+";}";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===o&&1===a)return"\n      float "+n+"() {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=t.shapeInfo.texShape;return"\n    float "+n+"() {\n      vec2 uv = uvFromFlat("+i[0]+", "+i[1]+", "+ia(e)+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1);if(t.shapeInfo.isUniform)return"\n      float "+n+"(int index) {\n        "+sa(t)+"\n      }\n    ";var r=t.shapeInfo.texShape,o=r[0],a=r[1];if(1===a&&1===o)return"\n      float "+n+"(int index) {\n        return sampleTexture("+e+", halfCR);\n      }\n    ";var i=ia(e);return 1===a?"\n      float "+n+"(int index) {\n        vec2 uv = vec2(0.5, (float(index + "+i+") + 0.5) / "+o+".0);\n        return sampleTexture("+e+", uv);\n      }\n    ":1===o?"\n      float "+n+"(int index) {\n        vec2 uv = vec2((float(index + "+i+") + 0.5) / "+a+".0, 0.5);\n        return sampleTexture("+e+", uv);\n      }\n    ":"\n    float "+n+"(int index) {\n      vec2 uv = uvFromFlat("+o+", "+a+", index + "+i+");\n      return sampleTexture("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape;if(null!=o&&I(e,o)){var a=o[0];return"\n    float "+r+"(int row, int col) {\n      vec2 uv = (vec2(col, row) + halfCR) / vec2("+o[1]+".0, "+a+".0);\n      return sampleTexture("+n+", uv);\n    }\n  "}var i=O(e),s=i.newShape,u=i.keptDims,c=s;if(c.length<e.length)return"\n      "+ta(ca(t,c))+"\n      float "+r+"(int row, int col) {\n        return "+r+"("+la(["row","col"],u)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col) {\n        int index = round(dot(vec2(row, col), vec2("+e[1]+", 1)));\n        "+sa(t)+"\n      }\n    ";var l=o[0],p=o[1],h=ia(n);return 1===p?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+h+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2(0.5, (index + 0.5) / "+l+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":1===l?"\n    float "+r+"(int row, int col) {\n      float index = dot(vec3(row, col, "+h+"), vec3("+e[1]+", 1, 1));\n      vec2 uv = vec2((index + 0.5) / "+p+".0, 0.5);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n  float "+r+"(int row, int col) {\n    // Explicitly use integer operations as dot() only works on floats.\n    int index = row * "+e[1]+" + col + "+h+";\n    vec2 uv = uvFromFlat("+l+", "+p+", index);\n    return sampleTexture("+n+", uv);\n  }\n"}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[1]*e[2],a=e[2],i=O(e),s=i.newShape,u=i.keptDims,c=s;if(c.length<e.length)return"\n        "+ta(ca(t,c))+"\n        float "+r+"(int row, int col, int depth) {\n          return "+r+"("+la(["row","col","depth"],u)+");\n        }\n      ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth) {\n        int index = round(dot(vec3(row, col, depth),\n                          vec3("+o+", "+a+", 1)));\n        "+sa(t)+"\n      }\n    ";var l=t.shapeInfo.texShape,p=l[0],h=l[1],d=t.shapeInfo.flatOffset;return h===o&&null==d?"\n        float "+r+"(int row, int col, int depth) {\n          float texR = float(row);\n          float texC = dot(vec2(col, depth), vec2("+a+", 1));\n          vec2 uv = (vec2(texC, texR) + halfCR) /\n                     vec2("+h+".0, "+p+".0);\n          return sampleTexture("+n+", uv);\n        }\n      ":h===a&&null==d?"\n    float "+r+"(int row, int col, int depth) {\n      float texR = dot(vec2(row, col), vec2("+e[1]+", 1));\n      float texC = float(depth);\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+h+".0, "+p+".0);\n      return sampleTexture("+n+", uv);\n    }\n  ":"\n      float "+r+"(int row, int col, int depth) {\n        // Explicitly use integer operations as dot() only works on floats.\n        int index = row * "+o+" + col * "+a+" + depth + "+ia(n)+";\n        vec2 uv = uvFromFlat("+p+", "+h+", index);\n        return sampleTexture("+n+", uv);\n      }\n  "}(t);case 4:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[3],a=e[2]*o,i=e[1]*a,s=O(e),u=s.newShape,c=s.keptDims;if(u.length<e.length)return"\n      "+ta(ca(t,u))+"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        return "+r+"("+la(["row","col","depth","depth2"],c)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        int index = round(dot(vec4(row, col, depth, depth2),\n                          vec4("+i+", "+a+", "+o+", 1)));\n        "+sa(t)+"\n      }\n    ";var l=t.shapeInfo.flatOffset,p=t.shapeInfo.texShape,h=p[0],d=p[1];return d===i&&null==l?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = float(row);\n        float texC =\n            dot(vec3(col, depth, depth2),\n                vec3("+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+d+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":d===o&&null==l?"\n      float "+r+"(int row, int col, int depth, int depth2) {\n        float texR = dot(vec3(row, col, depth),\n                         vec3("+e[1]*e[2]+", "+e[2]+", 1));\n        float texC = float(depth2);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+d+".0, "+h+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+i+" + col * "+a+" +\n          depth * "+o+" + depth2;\n      vec2 uv = uvFromFlat("+h+", "+d+", index + "+ia(n)+");\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 5:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=e[4],a=e[3]*o,i=e[2]*a,s=e[1]*i,u=O(e),c=u.newShape,l=u.keptDims;if(c.length<e.length)return"\n      "+ta(ca(t,c))+"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        return "+r+"("+la(["row","col","depth","depth2","depth3"],l)+");\n      }\n    ";if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float index = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+s+", "+i+", "+a+", "+o+")) +\n          depth3;\n        "+sa(t)+"\n      }\n    ";var p=t.shapeInfo.flatOffset,h=t.shapeInfo.texShape,d=h[0],f=h[1];return f===s&&null==p?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n                         vec4("+i+", "+a+", "+o+", 1));\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+f+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":f===o&&null==p?"\n      float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n        float texR = dot(\n          vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]+",\n               "+e[2]*e[3]+", "+e[3]+", 1));\n        int texC = depth3;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+f+".0, "+d+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth, int depth2, int depth3) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+s+" + col * "+i+" + depth * "+a+" +\n          depth2 * "+o+" + depth3 + "+ia(n)+";\n      vec2 uv = uvFromFlat("+d+", "+f+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);case 6:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=O(e),a=o.newShape,i=o.keptDims;if(a.length<e.length)return"\n      "+ta(ca(t,a))+"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        return "+r+"("+la(["row","col","depth","depth2","depth3","depth4"],i)+");\n      }\n    ";var s=e[5],u=e[4]*s,c=e[3]*u,l=e[2]*c,p=e[1]*l;if(t.shapeInfo.isUniform)return"\n      float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n        int index = round(dot(\n          vec4(row, col, depth, depth2),\n          vec4("+p+", "+l+", "+c+", "+u+")) +\n          dot(\n            vec2(depth3, depth4),\n            vec2("+s+", 1)));\n        "+sa(t)+"\n      }\n    ";var h=t.shapeInfo.flatOffset,d=t.shapeInfo.texShape,f=d[0],v=d[1];return v===p&&null==h?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        int texR = row;\n        float texC = dot(vec4(col, depth, depth2, depth3),\n          vec4("+l+", "+c+", "+u+", "+s+")) +\n               float(depth4);\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                   vec2("+v+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":v===s&&null==h?"\n      float "+r+"(int row, int col, int depth,\n                    int depth2, int depth3, int depth4) {\n        float texR = dot(vec4(row, col, depth, depth2),\n          vec4("+e[1]*e[2]*e[3]*e[4]+",\n               "+e[2]*e[3]*e[4]+",\n               "+e[3]*e[4]+",\n               "+e[4]+")) + float(depth3);\n        int texC = depth4;\n        vec2 uv = (vec2(texC, texR) + halfCR) /\n                  vec2("+v+".0, "+f+".0);\n        return sampleTexture("+n+", uv);\n      }\n    ":"\n    float "+r+"(int row, int col, int depth,\n                  int depth2, int depth3, int depth4) {\n      // Explicitly use integer operations as dot() only works on floats.\n      int index = row * "+p+" + col * "+l+" + depth * "+c+" +\n          depth2 * "+u+" + depth3 * "+s+" + depth4 + "+ia(n)+";\n      vec2 uv = uvFromFlat("+f+", "+v+", index);\n      return sampleTexture("+n+", uv);\n    }\n  "}(t);default:throw new Error(e.length+"-D input sampling is not yet supported")}}function ea(t){var e;switch(t.shapeInfo.logicalShape.length){case 0:return"\n    vec4 "+("get"+(e=t.name).charAt(0).toUpperCase()+e.slice(1))+"() {\n      return "+$o().texture2D+"("+e+", halfCR);\n    }\n  ";case 1:return function(t){var e=t.name,n="get"+e.charAt(0).toUpperCase()+e.slice(1),r=t.shapeInfo.texShape,o=[Math.ceil(r[0]/2),Math.ceil(r[1]/2)],a=$o();return"\n    vec4 "+n+"(int index) {\n      vec2 uv = packedUVfrom1D(\n        "+o[0]+", "+o[1]+", index);\n      return "+a.texture2D+"("+e+", uv);\n    }\n  "}(t);case 2:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=o[0],i=o[1],s=$o();if(null!=o&&I(e,o))return"\n      vec4 "+r+"(int row, int col) {\n        vec2 uv = (vec2(col, row) + halfCR) / vec2("+i+".0, "+a+".0);\n\n        return "+s.texture2D+"("+n+", uv);\n      }\n    ";var u=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];return"\n    vec4 "+r+"(int row, int col) {\n      vec2 uv = packedUVfrom2D("+Math.ceil(e[1]/2)+", "+u[0]+", "+u[1]+", row, col);\n      return "+s.texture2D+"("+n+", uv);\n    }\n  "}(t);case 3:return function(t){var e=t.shapeInfo.logicalShape,n=t.name,r="get"+n.charAt(0).toUpperCase()+n.slice(1),o=t.shapeInfo.texShape,a=[Math.ceil(o[0]/2),Math.ceil(o[1]/2)];if(1===e[0])return"\n        "+ea(ca(t,e.slice(1)))+"\n        vec4 "+r+"(int b, int row, int col) {\n          return "+r+"("+la(["b","row","col"],[1,2])+");\n        }\n      ";var i=a[0],s=a[1],u=Math.ceil(e[2]/2);return"\n    vec4 "+r+"(int b, int row, int col) {\n      vec2 uv = packedUVfrom3D(\n        "+i+", "+s+", "+u*Math.ceil(e[1]/2)+", "+u+", b, row, col);\n      return "+$o().texture2D+"("+n+", uv);\n    }\n  "}(t);default:return function(t){for(var e=t.shapeInfo.logicalShape,n=e.length,r=t.name,o="get"+r.charAt(0).toUpperCase()+r.slice(1),a=t.shapeInfo.texShape,i=[Math.ceil(a[0]/2),Math.ceil(a[1]/2)],s=i[0],u=i[1],c=Math.ceil(e[n-1]/2),l=c*Math.ceil(e[n-2]/2),p="int b, int row, int col",h="b * "+l+" + (row / 2) * "+c+" + (col / 2)",d=2;d<n-1;d++)p="int b"+d+", "+p,h="b"+d+" * "+(l*=e[n-d-1])+" + "+h;return"\n    vec4 "+o+"("+p+") {\n      int index = "+h+";\n      int texR = index / "+u+";\n      int texC = index - texR * "+u+";\n      vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+u+", "+s+");\n      return "+$o().texture2D+"("+r+", uv);\n    }\n  "}(t)}}var na="\nvec2 uvFromFlat(int texNumR, int texNumC, int index) {\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\nvec2 packedUVfrom1D(int texNumR, int texNumC, int index) {\n  int texelIndex = index / 2;\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",ra="\nvec2 packedUVfrom2D(int texelsInLogicalRow, int texNumR,\n  int texNumC, int row, int col) {\n  int texelIndex = (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = texelIndex / texNumC;\n  int texC = texelIndex - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",oa="\nvec2 packedUVfrom3D(int texNumR, int texNumC,\n    int texelsInBatch, int texelsInLogicalRow, int b,\n    int row, int col) {\n  int index = b * texelsInBatch + (row / 2) * texelsInLogicalRow + (col / 2);\n  int texR = index / texNumC;\n  int texC = index - texR * texNumC;\n  return (vec2(texC, texR) + halfCR) / vec2(texNumC, texNumR);\n}\n",aa="\n  float getChannel(vec4 frag, vec2 innerDims) {\n    vec2 modCoord = mod(innerDims, 2.);\n    return modCoord.x == 0. ?\n      (modCoord.y == 0. ? frag.r : frag.g) :\n      (modCoord.y == 0. ? frag.b : frag.a);\n  }\n  float getChannel(vec4 frag, int dim) {\n    float modCoord = mod(float(dim), 2.);\n    return modCoord == 0. ? frag.r : frag.g;\n  }\n";function ia(t){return"offset"+t}function sa(t){var e=t.name,n=R(t.shapeInfo.logicalShape);return n<2?"return "+e+";":"\n    for (int i = 0; i < "+n+"; i++) {\n      if (i == index) {\n        return "+e+"[i];\n      }\n    }\n  "}function ua(t){if(t<=1)return"int";if(2===t)return"ivec2";if(3===t)return"ivec3";if(4===t)return"ivec4";if(5===t)return"ivec5";if(6===t)return"ivec6";throw Error("GPU for rank "+t+" is not yet supported")}function ca(t,e){var n=JSON.parse(JSON.stringify(t));return n.shapeInfo.logicalShape=e,n}function la(t,e){return e.map(function(e){return t[e]}).join(", ")}var pa=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,b(t.length>2,function(){return"Packed arg"+(n.charAt(0).toUpperCase()+n.slice(1))+" supports only inputs with rank above 2."});var o=t[t.length-1],a=Math.ceil(o/e);this.outputShape=t.slice(0,-1),a>1&&this.outputShape.push(a),r||this.variableNames.push("bestIndicesA");var i,s,u=this.outputShape,c=u.length,l=ua(c),p=Xo("coords",c);if(1===a){var h=ua(s=c+1);i="\n        "+h+" sourceLocR = "+h+"("+p.join()+", 0);\n        ++"+p[c-1]+";\n        "+h+" sourceLocG = "+h+"("+p.join()+", 0);\n        ++"+p[c-2]+";\n        "+h+" sourceLocA = "+h+"("+p.join()+", 0);\n        --"+p[c-1]+";\n        "+h+" sourceLocB = "+h+"("+p.join()+", 0);\n        --"+p[c-2]+";"}else s=c,i="\n        "+l+" sourceLocR = coords;\n        ++"+p[c-1]+";\n        "+l+" sourceLocG = coords;\n        ++"+p[c-2]+";\n        "+l+" sourceLocA = coords;\n        --"+p[c-1]+";\n        "+l+" sourceLocB = coords;\n        --"+p[c-2]+";";var d=["x","y","z","w","u","v"].slice(0,s),f="."+d[s-1],v=d.map(function(t){return"int "+t}),m=Xo("sourceLocR",s-1).concat("inIdx.r"),g=Xo("sourceLocG",s-1).concat("inIdx.g"),x=Xo("sourceLocB",s-1).concat("inIdx.b"),y=Xo("sourceLocA",s-1).concat("inIdx.a"),w="max"===n?"greaterThan":"lessThan",C=r?"":"\n          inIdx = round(vec4(getBestIndicesAChannel("+m.join()+"),\n                             getBestIndicesAChannel("+g.join()+"),\n                             getBestIndicesAChannel("+x.join()+"),\n                             getBestIndicesAChannel("+y.join()+")));",E="vec4(\n            getAChannel("+m.join()+"),\n            hasNextCol ? getAChannel("+g.join()+") : 0.,\n            hasNextRow ? getAChannel("+x.join()+") : 0.,\n            hasNextRow && hasNextCol ? getAChannel("+y.join()+") : 0.)",R=r?"":"\n      float getBestIndicesAChannel("+v.join()+") {\n        return getChannel(getBestIndicesA("+d.join()+"),\n                                          vec2("+d.slice(-2).join()+"));\n      }";this.userCode="\n      float getAChannel("+v.join()+") {\n        return getChannel(getA("+d.join()+"),\n                               vec2("+d.slice(-2).join()+"));\n      }\n      "+R+"\n      void main() {\n        "+l+" coords = getOutputCoords();\n        bool hasNextCol = "+p[c-1]+" < "+(u[c-1]-1)+";\n        bool hasNextRow = "+p[c-2]+" < "+(u[c-2]-1)+";\n        "+i+"\n        ivec4 srcIdx = ivec4(sourceLocR"+f+", sourceLocG"+f+",\n          sourceLocB"+f+", sourceLocA"+f+") * "+e+";\n        ivec4 inIdx = srcIdx;\n        vec4 bestIndex = vec4(inIdx);\n        vec4 bestValue = "+E+";\n\n        for (int i = 0; i < "+e+"; i++) {\n          inIdx = srcIdx;\n          "+C+"\n          vec4 candidate = "+E+";\n          bvec4 nan = isnan(candidate);\n          bvec4 replace = bvec4(\n            vec4("+w+"(candidate, bestValue)) * (vec4(1.0) - vec4(nan)));\n\n          bestValue = vec4(replace.x  ? candidate.x : bestValue.x,\n                           replace.y  ? candidate.y : bestValue.y,\n                           replace.z  ? candidate.z : bestValue.z,\n                           replace.w  ? candidate.w : bestValue.w);\n          bestIndex = mix(bestIndex, vec4(inIdx), vec4(replace));\n          srcIdx++;\n        }\n        setOutput(bestIndex);\n      }\n    "},ha=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterHeight,u=t.effectiveFilterWidth,c=s-1-t.padInfo.top,l=u-1-t.padInfo.left,p=1/(e*n);this.userCode="\n      const ivec2 pads = ivec2("+c+", "+l+");\n      const float avgMultiplier = float("+p+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+s+";\n            wR += "+a+") {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+u+";\n            wC+= "+i+") {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n\n            dotProd += dyValue * avgMultiplier;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},da=function(t){this.variableNames=["dy"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,p=t.effectiveFilterHeight,h=t.effectiveFilterWidth,d=l-1-t.padInfo.front,f=p-1-t.padInfo.top,v=h-1-t.padInfo.left,m=1/(e*n*r);this.userCode="\n      const ivec3 pads = ivec3("+d+", "+f+", "+v+");\n      const float avgMultiplier = float("+m+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, d) with pos mask(:, :, :, ch) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          float dyD = float(dyDCorner + wD) / "+o+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+p+";\n              wR += "+u+") {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+h+";\n                wC += "+c+") {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n\n              dotProd += dyValue * avgMultiplier;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},fa=function(t,e,n,r,o,a){this.outputShape=[],this.variableNames=["x","mean","variance"],go(t,e),go(t,n);var i="0.0";null!=r&&(go(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="1.0";null!=o&&(go(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        float x = getXAtOutCoords();\n        float mean = getMeanAtOutCoords();\n        float variance = getVarianceAtOutCoords();\n        float offset = "+i+";\n        float scale = "+s+";\n        float inv = scale * inversesqrt(variance + float("+a+"));\n        setOutput(dot(vec3(x, -mean, offset), vec3(inv, inv, 1)));\n      }\n    "},va=function(t,e,n,r,o,a){this.packedInputs=!0,this.packedOutput=!0,this.variableNames=["x","mean","variance"],go(t,e),go(t,n);var i="vec4(0.0)";null!=r&&(go(t,r),this.variableNames.push("offset"),i="getOffsetAtOutCoords()");var s="vec4(1.0)";null!=o&&(go(t,o),this.variableNames.push("scale"),s="getScaleAtOutCoords()"),this.outputShape=t,this.userCode="\n      void main() {\n        vec4 offset = "+i+";\n        vec4 scale = "+s+";\n\n        vec4 x = getXAtOutCoords();\n        vec4 mean = getMeanAtOutCoords();\n        vec4 variance = getVarianceAtOutCoords();\n\n        vec4 inv = scale * inversesqrt(variance + vec4("+a+"));\n\n        setOutput((x - mean) * inv + offset);\n      }\n    "},ma="return areal * breal - aimag * bimag;",ga="return areal * bimag + aimag * breal;",xa=function(t,e,n){this.variableNames=["AReal","AImag","BReal","BImag"],this.outputShape=go(e,n),this.userCode="\n      float binaryOpComplex(\n          float areal, float aimag, float breal, float bimag) {\n        "+t+"\n      }\n\n      void main() {\n        float areal = getARealAtOutCoords();\n        float aimag = getAImagAtOutCoords();\n        float breal = getBRealAtOutCoords();\n        float bimag = getBImagAtOutCoords();\n        setOutput(binaryOpComplex(areal, aimag, breal, bimag));\n      }\n    "},ya="return a + b;",ba="return a - b;",wa="return a * b;",Ca="return (a < 0.) ? b * a : a;",Ea=function(t,e,n){this.variableNames=["A","B"],this.outputShape=go(e,n),this.userCode="\n      float binaryOperation(float a, float b) {\n        "+t+"\n      }\n\n      void main() {\n        float a = getAAtOutCoords();\n        float b = getBAtOutCoords();\n        setOutput(binaryOperation(a, b));\n      }\n    "},Ra="\n  vec4 aLessThanZero = vec4(lessThan(a, vec4(0.)));\n  return (aLessThanZero * (b * a)) + ((vec4(1.0) - aLessThanZero) * a);\n",Ia=function(t,e,n,r){void 0===r&&(r=!1),this.variableNames=["A","B"],this.supportsBroadcasting=!0,this.packedInputs=!0,this.packedOutput=!0,this.outputShape=go(e,n);var o=this.outputShape.length,a="";if(r)if(0===o||1===R(this.outputShape))a="\n          result.y = 0.;\n          result.z = 0.;\n          result.w = 0.;\n        ";else if(a="\n          "+ua(o)+" coords = getOutputCoords();\n        ",1===o)a+="\n            result.y = (coords + 1) >= "+this.outputShape[0]+" ? 0. : result.y;\n            result.z = 0.;\n            result.w = 0.;\n          ";else{var i=Xo("coords",o);a+="\n            bool nextRowOutOfBounds =\n              ("+i[o-2]+" + 1) >= "+this.outputShape[o-2]+";\n            bool nextColOutOfBounds =\n              ("+i[o-1]+" + 1) >= "+this.outputShape[o-1]+";\n            result.y = nextColOutOfBounds ? 0. : result.y;\n            result.z = nextRowOutOfBounds ? 0. : result.z;\n            result.w = nextColOutOfBounds || nextRowOutOfBounds ? 0. : result.w;\n          "}this.userCode="\n      vec4 binaryOperation(vec4 a, vec4 b) {\n        "+t+"\n      }\n\n      void main() {\n        vec4 a = getAAtOutCoords();\n        vec4 b = getBAtOutCoords();\n\n        vec4 result = binaryOperation(a, b);\n        "+a+"\n\n        setOutput(result);\n      }\n    "},ka=function(){function t(t){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        float value = getAAtOutCoords();\n        if (isnan(value)) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, minVal, maxVal));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Sa=function(){function t(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      uniform float minVal;\n      uniform float maxVal;\n\n      void main() {\n        vec4 value = getAAtOutCoords();\n\n        if (any(isnan(value))) {\n          setOutput(value);\n          return;\n        }\n\n        setOutput(clamp(value, vec4(minVal), vec4(maxVal)));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t,e){var n=this;return function(r,o){null==n.minLoc&&(n.minLoc=r.getUniformLocationNoThrow(o,"minVal"),n.maxLoc=r.getUniformLocationNoThrow(o,"maxVal")),r.gl.uniform1f(n.minLoc,t),r.gl.uniform1f(n.maxLoc,e)}},t}(),Aa=function(t){this.variableNames=["real","imag"],this.outputShape=t,this.userCode="\n      void main() {\n        float re = abs(getRealAtOutCoords());\n        float im = abs(getImagAtOutCoords());\n        float mx = max(re, im);\n\n        // sadly the length function in glsl is not underflow-safe\n        // (at least not on Intel GPUs). So the safe solution is\n        // to ensure underflow-safety in all cases.\n        setOutput(\n          mx == 0.0 ? 0.0 : mx * length(vec2(1, min(re, im)/mx))\n        );\n      }\n    "},Da=function(t){this.outputShape=[],this.outputShape=Rn(t,1),this.variableNames=t.map(function(t,e){return"T"+e});var e=new Array(t.length-1);e[0]=t[0][1];for(var n=1;n<e.length;n++)e[n]=e[n-1]+t[n][1];var r=["if (yC < "+e[0]+") setOutput(getT0(yR, yC));"];for(n=1;n<e.length;n++){var o=e[n-1];r.push("else if (yC < "+e[n]+") setOutput(getT"+n+"(yR, yC-"+o+"));")}var a=e.length,i=e[e.length-1];r.push("else setOutput(getT"+a+"(yR, yC-"+i+"));"),this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int yR = coords.x;\n        int yC = coords.y;\n\n        "+r.join("\n        ")+"\n      }\n    "},Ta=function(t,e){this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[],this.outputShape=Rn(t,e);var n=this.outputShape,r=n.length,o=ua(r),a=Xo("coords",r),i=["x","y","z","w","u","v"].slice(0,r);this.variableNames=t.map(function(t,e){return"T"+e});var s=new Array(t.length-1);s[0]=t[0][e];for(var u=1;u<s.length;u++)s[u]=s[u-1]+t[u][e];var c=i[e],l=i.slice(-2),p=i.join(),h="if ("+c+" < "+s[0]+") {\n        return getChannel(\n            getT0("+p+"), vec2("+l.join()+"));\n        }";for(u=1;u<s.length;u++){var d=s[u-1];h+="\n        if ("+c+" < "+s[u]+"  && "+c+" >= "+s[u-1]+") {\n          return getChannel(\n            getT"+u+"("+Na(i,c,d)+"),\n            vec2("+Na(l,c,d)+"));\n        }"}var f=s.length,v=s[s.length-1];h+="\n        return getChannel(\n          getT"+f+"("+Na(i,c,v)+"),\n          vec2("+Na(l,c,v)+"));",this.userCode="\n      float getValue("+i.map(function(t){return"int "+t})+") {\n        "+h+"\n      }\n\n      void main() {\n        "+o+" coords = getOutputCoords();\n        vec4 result = vec4(getValue("+a+"), 0., 0., 0.);\n\n        "+a[r-1]+" = "+a[r-1]+" + 1;\n        if ("+a[r-1]+" < "+n[r-1]+") {\n          result.g = getValue("+a+");\n        }\n\n        "+a[r-2]+" = "+a[r-2]+" + 1;\n        if ("+a[r-2]+" < "+n[r-2]+") {\n          result.a = getValue("+a+");\n        }\n\n        "+a[r-1]+" = "+a[r-1]+" - 1;\n        if ("+a[r-2]+" < "+n[r-2]+" &&\n            "+a[r-1]+" < "+n[r-1]+") {\n          result.b = getValue("+a+");\n        }\n        setOutput(result);\n      }\n    "};function Na(t,e,n){var r=t.indexOf(e);return t.map(function(t,e){return e===r?t+" - "+n:t}).join()}var Fa=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a="channelsLast"===t.dataFormat;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int d2 = coords.w;\n\n        // Convolve x(?, ?, d1) with dy(:, :, d2) to get dw(wR, wC, d1, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              if ("+a+") {\n                float dyValue = getDy(b, yR, yC, d2);\n                float xValue = getX(b, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              } else {\n                float dyValue = getDy(b, d2, yR, yC);\n                float xValue = getX(b, d1, xR, xC);\n                dotProd += (xValue * dyValue);\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Oa=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a="channelsLast"===t.dataFormat,i=e-1-t.padInfo.top,s=n-1-t.padInfo.left,u=a?1:2,c=a?2:3,l=a?3:1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords["+l+"];\n\n        ivec2 dyCorner = ivec2(coords["+u+"], coords["+c+"]) - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        // Convolve dy(?, ?, d2) with w(:, :, d1, d2) to compute dx(xR, xC, d1).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n\n              if ("+a+") {\n                float xValue = getDy(batch, idyR, idyC, d2);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              } else {\n                float xValue = getDy(batch, d2, idyR, idyC);\n                float wValue = getW(wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},_a=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.padInfo.front,a=t.padInfo.top,i=t.padInfo.left;this.userCode="\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int wF = coords.x;\n        int wR = coords.y;\n        int wC = coords.z;\n        int d1 = coords.w;\n        int d2 = coords.u;\n\n        float dotProd = 0.0;\n\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yF = 0; yF < "+t.outDepth+"; yF++) {\n            int xF = wF + yF * "+e+" - "+o+";\n\n            if (xF < 0 || xF >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n              int xR = wR + yR * "+n+" - "+a+";\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n                int xC = wC + yC * "+r+" - "+i+";\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float dyValue = getDy(b, yF, yR, yC, d2);\n                float xValue = getX(b, xF, xR, xC, d1);\n                dotProd += (xValue * dyValue);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ma=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterDepth,n=t.filterHeight,r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=e-1-t.padInfo.front,u=n-1-t.padInfo.top,c=r-1-t.padInfo.left;this.userCode="\n      const ivec3 pads = ivec3("+s+", "+u+", "+c+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d1 = coords.u;\n\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyFCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+e+"; wF++) {\n          float dyF = float(dyFCorner + wF) / "+o+".0;\n\n          if (dyF < 0.0 || dyF >= "+t.outDepth+".0 || fract(dyF) > 0.0) {\n            continue;\n          }\n          int idyF = int(dyF);\n\n          int wFPerm = "+e+" - 1 - wF;\n\n          for (int wR = 0; wR < "+n+"; wR++) {\n            float dyR = float(dyRCorner + wR) / "+a+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n              fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            int wRPerm = "+n+" - 1 - wR;\n\n            for (int wC = 0; wC < "+r+"; wC++) {\n              float dyC = float(dyCCorner + wC) / "+i+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              int wCPerm = "+r+" - 1 - wC;\n\n              for (int d2 = 0; d2 < "+t.outChannels+"; d2++) {\n                float xValue = getDy(batch, idyF, idyR, idyC, d2);\n                float wValue = getW(wFPerm, wRPerm, wCPerm, d1, d2);\n                dotProd += xValue * wValue;\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ba=function(t){this.variableNames=["x","dy"],this.outputShape=t.filterShape;var e=t.strideHeight,n=t.strideWidth,r=t.padInfo.top,o=t.padInfo.left,a=t.outChannels/t.inChannels;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int wR = coords.x;\n        int wC = coords.y;\n        int d1 = coords.z;\n        int dm = coords.w;\n        int d2 = d1 * "+a+" + dm;\n\n        float dotProd = 0.0;\n\n        // TO DO: Vec4 over the batch size\n        for (int b = 0; b < "+t.batchSize+"; b++) {\n          for (int yR = 0; yR < "+t.outHeight+"; yR++) {\n            int xR = wR + yR * "+e+" - "+r+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int yC = 0; yC < "+t.outWidth+"; yC++) {\n              int xC = wC + yC * "+n+" - "+o+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float dyValue = getDy(b, yR, yC, d2);\n              float xValue = getX(b, xR, xC, d1);\n              dotProd += (xValue * dyValue);\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Pa=function(t){this.variableNames=["dy","W"],this.outputShape=t.inShape;var e=t.filterHeight,n=t.filterWidth,r=t.strideHeight,o=t.strideWidth,a=e-1-t.padInfo.top,i=n-1-t.padInfo.left,s=t.outChannels/t.inChannels;this.userCode="\n      const ivec2 pads = ivec2("+a+", "+i+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d1 = coords[3];\n        ivec2 dyCorner = coords.yz - pads;\n        int dyRCorner = dyCorner.x;\n        int dyCCorner = dyCorner.y;\n\n        float dotProd = 0.0;\n\n        for (int wR = 0; wR < "+e+"; wR++) {\n          float dyR = float(dyRCorner + wR) / "+r+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          int wRPerm = "+e+" - 1 - wR;\n\n          for (int wC = 0; wC < "+n+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+o+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            int wCPerm = "+n+" - 1 - wC;\n\n            // TO DO: Vec4 over the channelMul\n            for (int dm = 0; dm < "+s+"; dm++) {\n              int d2 = d1 * "+s+" + dm;\n              float xValue = getDy(batch, idyR, idyC, d2);\n              float wValue = getW(wRPerm, wCPerm, d1, dm);\n              dotProd += xValue * wValue;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},La=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.padInfo.top,a=t.padInfo.left,i=t.strideHeight,s=t.strideWidth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterHeight,p=t.filterWidth,h=4*Math.floor(t.inChannels/4),d=t.inChannels%4,f="channelsLast"===t.dataFormat,v=f?1:2,m=f?2:3,g=f?3:1,x="",y="";n&&(x=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",y="result = activation(result);");var b=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+x+"\n\n      const ivec2 strides = ivec2("+i+", "+s+");\n      const ivec2 pads = ivec2("+o+", "+a+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d2 = coords["+g+"];\n\n        ivec2 xRCCorner =\n            ivec2(coords["+v+"], coords["+m+"]) * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, d2) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+l+"; wR++) {\n          int xR = xRCorner + wR * "+u+";\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+p+"; wC++) {\n            int xC = xCCorner + wC * "+c+";\n\n            if (xC < 0 || xC >= "+t.inWidth+") {\n              continue;\n            }\n\n            for (int d1 = 0; d1 < "+h+"; d1 += 4) {\n              vec4 wValues = vec4(\n                getW(wR, wC, d1, d2),\n                getW(wR, wC, d1 + 1, d2),\n                getW(wR, wC, d1 + 2, d2),\n                getW(wR, wC, d1 + 3, d2)\n              );\n\n              if ("+f+") {\n                vec4 xValues = vec4(\n                  getX(batch, xR, xC, d1),\n                  getX(batch, xR, xC, d1 + 1),\n                  getX(batch, xR, xC, d1 + 2),\n                  getX(batch, xR, xC, d1 + 3)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec4 xValues = vec4(\n                  getX(batch, d1, xR, xC),\n                  getX(batch, d1 + 1, xR, xC),\n                  getX(batch, d1 + 2, xR, xC),\n                  getX(batch, d1 + 3, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n\n            if ("+(1===d)+") {\n\n              if ("+f+") {\n                dotProd +=\n                    getX(batch, xR, xC, "+h+") *\n                    getW(wR, wC, "+h+", d2);\n              } else {\n                dotProd +=\n                    getX(batch, "+h+", xR, xC) *\n                    getW(wR, wC, "+h+", d2);\n              }\n\n            } else if ("+(2===d)+") {\n              vec2 wValues = vec2(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2)\n              );\n\n              if ("+f+") {\n                vec2 xValues = vec2(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec2 xValues = vec2(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            } else if ("+(3===d)+") {\n              vec3 wValues = vec3(\n                getW(wR, wC, "+h+", d2),\n                getW(wR, wC, "+h+" + 1, d2),\n                getW(wR, wC, "+h+" + 2, d2)\n              );\n\n              if ("+f+") {\n                vec3 xValues = vec3(\n                  getX(batch, xR, xC, "+h+"),\n                  getX(batch, xR, xC, "+h+" + 1),\n                  getX(batch, xR, xC, "+h+" + 2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else {\n                vec3 xValues = vec3(\n                  getX(batch, "+h+", xR, xC),\n                  getX(batch, "+h+" + 1, xR, xC),\n                  getX(batch, "+h+" + 2, xR, xC)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n\n            }\n          }\n        }\n\n        float result = dotProd;\n        "+b+"\n        "+y+"\n        setOutput(result);\n      }\n    "},Wa=function(t){this.variableNames=["x","W"],this.outputShape=t.outShape;var e=t.padInfo.front,n=t.padInfo.top,r=t.padInfo.left,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.filterDepth,p=t.filterHeight,h=t.filterWidth,d=4*Math.floor(t.inChannels/4),f=t.inChannels%4;this.userCode="\n      const ivec3 strides = ivec3("+o+", "+a+", "+i+");\n      const ivec3 pads = ivec3("+e+", "+n+", "+r+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int d2 = coords.u;\n\n        ivec3 xFRCCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xFCorner = xFRCCorner.x;\n        int xRCorner = xFRCCorner.y;\n        int xCCorner = xFRCCorner.z;\n\n        // Convolve x(?, ?, ?, d1) with w(:, :, :, d1, d2) to get\n        // y(yF, yR, yC, d2). ? = to be determined. : = across all\n        // values in that axis.\n        float dotProd = 0.0;\n        for (int wF = 0; wF < "+l+"; wF++) {\n          int xF = xFCorner + wF * "+s+";\n\n          if (xF < 0 || xF >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+"; wR++) {\n            int xR = xRCorner + wR * "+u+";\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+h+"; wC++) {\n              int xC = xCCorner + wC * "+c+";\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              for (int d1 = 0; d1 < "+d+"; d1 += 4) {\n                vec4 xValues = vec4(\n                  getX(batch, xF, xR, xC, d1),\n                  getX(batch, xF, xR, xC, d1 + 1),\n                  getX(batch, xF, xR, xC, d1 + 2),\n                  getX(batch, xF, xR, xC, d1 + 3)\n                );\n                vec4 wValues = vec4(\n                  getW(wF, wR, wC, d1, d2),\n                  getW(wF, wR, wC, d1 + 1, d2),\n                  getW(wF, wR, wC, d1 + 2, d2),\n                  getW(wF, wR, wC, d1 + 3, d2)\n                );\n\n                dotProd += dot(xValues, wValues);\n              }\n\n              if ("+(1===f)+") {\n                dotProd +=\n                  getX(batch, xF, xR, xC, "+d+") *\n                  getW(wF, wR, wC, "+d+", d2);\n              } else if ("+(2===f)+") {\n                vec2 xValues = vec2(\n                  getX(batch, xF, xR, xC, "+d+"),\n                  getX(batch, xF, xR, xC, "+d+" + 1)\n                );\n                vec2 wValues = vec2(\n                  getW(wF, wR, wC, "+d+", d2),\n                  getW(wF, wR, wC, "+d+" + 1, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              } else if ("+(3===f)+") {\n                vec3 xValues = vec3(\n                  getX(batch, xF, xR, xC, "+d+"),\n                  getX(batch, xF, xR, xC, "+d+" + 1),\n                  getX(batch, xF, xR, xC, "+d+" + 2)\n                );\n                vec3 wValues = vec3(\n                  getW(wF, wR, wC, "+d+", d2),\n                  getW(wF, wR, wC, "+d+" + 1, d2),\n                  getW(wF, wR, wC, "+d+" + 2, d2)\n                );\n                dotProd += dot(xValues, wValues);\n              }\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Ua=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.outputShape=t.outShape;var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,p=t.dilationWidth,h=t.filterHeight,d=t.filterWidth,f=t.outChannels/t.inChannels,v="",m="";n&&(v=r?"float activation(float a) {\n          float b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"\n          float activation(float x) {\n            "+n+"\n          }\n        ",m="result = activation(result);");var g=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+v+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2 / "+f+";\n        int q = d2 - d1 * "+f+";\n\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // Convolve x(?, ?, d1) with w(:, :, d1, q) to get y(yR, yC, d2).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        // TO DO(dsmilkov): Flatten the two for loops and vec4 the operations.\n        for (int wR = 0; wR < "+h+"; wR++) {\n          int xR = xRCorner + wR * "+l+";\n\n          if (xR < 0 || xR >= "+o+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+d+"; wC++) {\n            int xC = xCCorner + wC * "+p+";\n\n            if (xC < 0 || xC >= "+a+") {\n              continue;\n            }\n\n            float xVal = getX(batch, xR, xC, d1);\n            float wVal = getW(wR, wC, d1, q);\n            dotProd += xVal * wVal;\n          }\n        }\n\n        float result = dotProd;\n        "+g+"\n        "+m+"\n        setOutput(result);\n      }\n    "},za=function(t,e,n,r){void 0===e&&(e=!1),void 0===n&&(n=null),void 0===r&&(r=!1),this.variableNames=["x","W"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t.outShape;for(var o=t.inHeight,a=t.inWidth,i=t.padInfo.top,s=t.padInfo.left,u=t.strideHeight,c=t.strideWidth,l=t.dilationHeight,p=t.dilationWidth,h=t.filterHeight,d=t.filterWidth,f=d,v="int xR; int xC; int xCOffset;",m=0;m<h;m++)for(var g=0;g<d;g++)v+="\n          vec4 xTexelR"+m+"C"+2*g+" = vec4(0.);\n          vec4 wR"+m+"C"+g+" = vec4(0.);\n          vec4 xR"+m+"C"+g+" = vec4(0.);";for(m=0;m<h;m++)for(var y=0;y<f;y++){if(v+="\n          xR = xRCorner + "+m*l+";\n          xC = xCCorner + "+(g=2*y)*p+";\n        ",1===c){if(g<d&&(v+=s%2==1?"\n                xCOffset = xC + 1;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xCOffset = xC + 1 - 2;\n                if(xR >= 0 && xR < "+o+" && xCOffset >= 0 && xCOffset < "+a+") {\n                  vec4 previous = getX(batch, xR, xCOffset, d1);\n                  xR"+m+"C"+g+" = vec4(previous.zw, xTexelR"+m+"C"+g+".xy);\n                } else {\n                  xR"+m+"C"+g+" = vec4(0, 0, xTexelR"+m+"C"+g+".xy);\n                }\n              ":"\n                if(xR >= 0 && xR < "+o+" && xC >= 0 && xC < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = xTexelR"+m+"C"+g+";\n              ",g+1<d)){var b=s%2==0?x(p):p;p%2==0&&s%2==1||p%2!=0&&s%2!=1?(v+="\n                  xCOffset = xC + "+s%2+" + "+b+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n                ",p>1&&(v+="\n                    xCOffset -= 2;\n                    if(xR >= 0 && xR < "+o+" &&\n                      xCOffset >= 0 && xCOffset < "+a+") {\n                      xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                    } else {\n                      xTexelR"+m+"C"+g+" = vec4(0.);\n                    }\n                  "),v+="\n                  xR"+m+"C"+(g+1)+" = vec4(\n                    xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".xy);\n                "):v+="\n                  xCOffset = xC + "+b+";\n\n                  if(xR >= 0 && xR < "+o+" &&\n                    xCOffset >= 0 && xCOffset < "+a+") {\n                    xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                  }\n\n                  xR"+m+"C"+(g+1)+" = xTexelR"+m+"C"+(g+2)+";\n                "}}else g<d&&(v+="\n              if(xR >= 0 && xR < "+o+") {\n            ",s%2==1?(v+="\n                xCOffset = xC + 1 - "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                if(xC + 1 >= 0 && xC + 1 < "+a+") {\n                  xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xC + 1, d1);\n                } else {\n                  xTexelR"+m+"C"+(g+2)+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = vec4(\n                  xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".zw);\n              ",g+1<d&&(v+="\n                  vec4 final = vec4(0.);\n                  xCOffset = xC + 1 + "+c+";\n                  if(xCOffset >= 0 && xCOffset < "+a+") {\n                    final = getX(batch, xR, xCOffset, d1);\n                  }\n                  xR"+m+"C"+(g+1)+" = vec4(xTexelR"+m+"C"+(g+2)+".xy, final.xy);\n                ")):(v+="\n                if(xC >= 0 && xC < "+a+") {\n                  xTexelR"+m+"C"+g+" = getX(batch, xR, xC, d1);\n                } else {\n                  xTexelR"+m+"C"+g+" = vec4(0.);\n                }\n\n                xCOffset = xC + "+c+";\n                if(xCOffset >= 0 && xCOffset < "+a+") {\n                  xTexelR"+m+"C"+(g+2)+" = getX(batch, xR, xCOffset, d1);\n                } else {\n                  xTexelR"+m+"C"+(g+2)+" = vec4(0.);\n                }\n\n                xR"+m+"C"+g+" = vec4(\n                  xTexelR"+m+"C"+g+".xy, xTexelR"+m+"C"+(g+2)+".xy);\n              ",g+1<d&&(v+="\n                  xR"+m+"C"+(g+1)+" = vec4(\n                    xTexelR"+m+"C"+g+".zw, xTexelR"+m+"C"+(g+2)+".zw);\n                ")),v+="}");g<d&&(v+="\n            vec4 wTexelR"+m+"C"+g+" = getW("+m+", "+g+", d1, q);\n            wR"+m+"C"+g+" = vec4(wTexelR"+m+"C"+g+".xz, wTexelR"+m+"C"+g+".xz);\n          ",g+1<d&&(v+="\n              vec4 wTexelR"+m+"C"+(g+1)+" = getW("+m+", "+(g+1)+", d1, q);\n              wR"+m+"C"+(g+1)+" =\n                vec4(wTexelR"+m+"C"+(g+1)+".xz, wTexelR"+m+"C"+(g+1)+".xz);"))}for(m=0;m<h;m++)for(g=0;g<d;g++)v+="dotProd += xR"+m+"C"+g+" * wR"+m+"C"+g+";";var w="",C="";n&&(w=r?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+n+"\n        }":"vec4 activation(vec4 x) {\n          "+n+"\n        }",C="result = activation(result);");var E=e?"result += getBiasAtOutCoords();":"";e&&this.variableNames.push("bias"),r&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+w+"\n\n      const ivec2 strides = ivec2("+u+", "+c+");\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n\n        ivec4 coords = getOutputCoords();\n        int batch = coords.x;\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int d2 = coords.w;\n        int d1 = d2;\n        int q = 0;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        vec4 dotProd = vec4(0.);\n\n        "+v+"\n\n        vec4 result = dotProd;\n        "+E+"\n        "+C+"\n        setOutput(result);\n      }\n    "},Va=function(t,e,n,r,o){this.variableNames=["Image","Boxes","BoxInd"],this.outputShape=[];var a=t[0],i=t[1],s=t[2],u=t[3],c=e[0],l=n[0],p=n[1];this.outputShape=[c,l,p,u];var h="bilinear"===r?1:0,d=[i-1+".0",s-1+".0"],f=d[0],v=d[1],m=l>1?[""+(i-1)/(l-1),"(y2-y1) * height_ratio","y1*"+f+" + float(y)*(height_scale)"]:["0.0","0.0","0.5 * (y1+y2) * "+f],g=m[0],x=m[1],y=m[2],b=p>1?[""+(s-1)/(p-1),"(x2-x1) * width_ratio","x1*"+v+" + float(x)*(width_scale)"]:["0.0","0.0","0.5 * (x1+x2) * "+v],w=b[0],C=b[1],E=b[2];this.userCode="\n      const float height_ratio = float("+g+");\n      const float width_ratio = float("+w+");\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int y = coords[1];\n        int x = coords[2];\n        int d = coords[3];\n\n        // get box vals\n        float y1 = getBoxes(b,0);\n        float x1 = getBoxes(b,1);\n        float y2 = getBoxes(b,2);\n        float x2 = getBoxes(b,3);\n\n        // get image in batch index\n        int bInd = round(getBoxInd(b));\n        if(bInd < 0 || bInd >= "+a+") {\n          return;\n        }\n\n        float height_scale = "+x+";\n        float width_scale = "+C+";\n\n        float in_y = "+y+";\n        if( in_y < 0.0 || in_y > "+f+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n        float in_x = "+E+";\n        if( in_x < 0.0 || in_x > "+v+" ) {\n          setOutput(float("+o+"));\n          return;\n        }\n\n        vec2 sourceFracIndexCR = vec2(in_x,in_y);\n        if("+h+" == 1) {\n          // Compute the four integer indices.\n          ivec2 sourceFloorCR = ivec2(sourceFracIndexCR);\n          ivec2 sourceCeilCR = ivec2(ceil(sourceFracIndexCR));\n\n          float topLeft = getImage(b, sourceFloorCR.y, sourceFloorCR.x, d);\n          float bottomLeft = getImage(b, sourceCeilCR.y, sourceFloorCR.x, d);\n          float topRight = getImage(b, sourceFloorCR.y, sourceCeilCR.x, d);\n          float bottomRight = getImage(b, sourceCeilCR.y, sourceCeilCR.x, d);\n\n          vec2 fracCR = sourceFracIndexCR - vec2(sourceFloorCR);\n\n          float top = topLeft + (topRight - topLeft) * fracCR.x;\n          float bottom = bottomLeft + (bottomRight - bottomLeft) * fracCR.x;\n          float newValue = top + (bottom - top) * fracCR.y;\n          setOutput(newValue);\n        } else {\n          // Compute the coordinators of nearest neighbor point.\n          ivec2 sourceNearestCR = ivec2(floor(\n            sourceFracIndexCR + vec2(0.5,0.5)));\n          float newValue = getImage(b, sourceNearestCR.y, sourceNearestCR.x, d);\n          setOutput(newValue);\n        }\n      }\n    "},Ga=function(t,e,n){this.variableNames=["x"],this.outputShape=t;var r=t.length,o=t[t.length-1],a=n?"<":">";this.userCode="\n      int getIndex(int i) {\n        "+(n?"return "+o+" -i - 1;":"return i;")+"\n      }\n\n      void main() {\n        "+ua(r)+" coords = getOutputCoords();\n        int end = "+Ha(r,"coords")+";\n        float val = 0.0;\n        for (int i = "+o+" - 1; i >= 0; i -= 1) {\n          int idx = getIndex(i);\n          if (idx "+a+" end) {\n            continue;\n          }\n          if (idx == end && "+e+") {\n            continue;\n          }\n          "+Ha(r,"coords")+" = idx;\n          val += getX("+function(t,e){if(1===r)return""+e;if(2===r)return e+".x, "+e+".y";if(3===r)return e+".x, "+e+".y, "+e+".z";if(4===r)return e+".x, "+e+".y, "+e+".z, "+e+".w";throw Error("Cumulative sum for rank "+r+" is not yet supported")}(0,"coords")+");\n        }\n        setOutput(val);\n      }\n    "};function Ha(t,e){if(1===t)return""+e;if(2===t)return e+".y";if(3===t)return e+".z";if(4===t)return e+".w";throw Error("Cumulative sum for rank "+t+" is not yet supported")}var qa=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outPackingScheme=Pt.DENSE;var e=Kt(t),n=$o();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+Yo(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getA(rc.x, rc.y, rc.z);\n        }\n\n        "+n.output+" = result;\n      }\n    "},Ka=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outPackingScheme=Pt.DENSE;var e=Kt(t),n=$o();this.outputShape=t,this.userCode="\n      ivec3 outCoordsFromFlatIndex(int index) {\n        "+Yo(["r","c","d"],t)+"\n        return ivec3(r, c, d);\n      }\n\n      void main() {\n        ivec2 resTexRC = ivec2(resultUV.yx *\n          vec2("+e[0]+", "+e[1]+"));\n        int index = 4 * (resTexRC.x * "+e[1]+" + resTexRC.y);\n\n        vec4 result = vec4(0.);\n\n        for (int i=0; i<4; i++) {\n          int flatIndex = index + i;\n          ivec3 rc = outCoordsFromFlatIndex(flatIndex);\n          result[i] = getChannel(getA(rc.x, rc.y, rc.z), vec2(rc.y, rc.z));\n        }\n\n        "+n.output+" = result;\n      }\n    "},ja=function(){function t(t,e,n){this.variableNames=["x"],this.outputShape=[],this.outputShape=t,this.blockSize=e,this.dataFormat=n,this.userCode="\n    void main() {\n      ivec4 coords = getOutputCoords();\n      int b = coords[0];\n      int h = "+this.getHeightCoordString()+";\n      int w = "+this.getWidthCoordString()+";\n      int d = "+this.getDepthCoordString()+";\n\n      int in_h = h / "+e+";\n      int offset_h = imod(h, "+e+");\n      int in_w = w / "+e+";\n      int offset_w = imod(w, "+e+");\n      int offset_d = (offset_h * "+e+" + offset_w) *\n        "+this.getOutputDepthSize()+";\n      int in_d = d + offset_d;\n\n      float result = "+this.getInputSamplingString()+";\n      setOutput(result);\n    }\n  "}return t.prototype.getHeightCoordString=function(){return"NHWC"===this.dataFormat?"coords[1]":"coords[2]"},t.prototype.getWidthCoordString=function(){return"NHWC"===this.dataFormat?"coords[2]":"coords[3]"},t.prototype.getDepthCoordString=function(){return"NHWC"===this.dataFormat?"coords[3]":"coords[1]"},t.prototype.getOutputDepthSize=function(){return"NHWC"===this.dataFormat?this.outputShape[3]:this.outputShape[1]},t.prototype.getInputSamplingString=function(){return"NHWC"===this.dataFormat?"getX(b, in_h, in_w, in_d)":"getX(b, in_d, in_h, in_w)"},t}(),Xa=function(t){this.variableNames=["X"],this.outputShape=[t,t],this.userCode="\n      void main() {\n          ivec2 coords = getOutputCoords();\n          float val = coords[0] == coords[1] ? getX(coords[0]) : 0.0;\n          setOutput(val);\n      }\n    "},$a=function(t){this.variableNames=["A"],this.outTexUsage=Lt.DOWNLOAD;var e=$o();this.outputShape=t,this.userCode="\n      "+Jo+"\n\n      void main() {\n        float x = getAAtOutCoords();\n        "+e.output+" = encode_float(x);\n      }\n    "},Ya=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outTexUsage=Lt.DOWNLOAD;var e=$o();this.outputShape=t,this.userCode="\n      "+Jo+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n        float x = getChannel(getAAtOutCoords(), vec2(coords.y, coords.z));\n        "+e.output+" = encode_float(x);\n      }\n    "},Qa=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"];var r=$o(),o=e[0],a=e[1];this.outputShape=t;var i="result";n&&(i="floor(result * 255. + 0.5)"),this.userCode="\n      "+Qo(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        int flatIndex = getFlatIndex(coords);\n        int offset = imod(flatIndex, 4);\n\n        flatIndex = idiv(flatIndex, 4, 1.);\n        \n        int r = flatIndex / "+a+";\n        int c = imod(flatIndex, "+a+");\n        vec2 uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n        vec4 values = "+r.texture2D+"(A, uv);\n\n        float result;\n\n        if(offset == 0) {\n          result = values[0];\n        } else if(offset == 1) {\n          result = values[1];\n        } else if(offset == 2) {\n          result = values[2];\n        } else {\n          result = values[3];\n        }\n\n        "+r.output+" = vec4("+i+", 0., 0., 0.);\n      }\n    "},Ja=function(t,e,n){void 0===n&&(n=!1),this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var r=$o(),o=e[0],a=e[1];this.outputShape=t;var i="",s="result";n&&(s="floor(result * 255. + 0.5)");for(var u=0;u<=1;u++)for(var c=0;c<=1;c++){var l=2*u+c;i+="\n          localCoords = coords;\n          if(localCoords[2] + "+c+" < "+t[2]+") {\n            localCoords[2] += "+c+";\n            if(localCoords[1] + "+u+" < "+t[1]+") {\n              localCoords[1] += "+u+";\n\n              flatIndex = getFlatIndex(localCoords);\n              offset = imod(flatIndex, 4);\n\n              flatIndex = idiv(flatIndex, 4, 1.);\n\n              r = flatIndex / "+a+";\n              c = imod(flatIndex, "+a+");\n              uv = (vec2(c, r) + halfCR) / vec2("+a+".0, "+o+".0);\n              values = "+r.texture2D+"(A, uv);\n\n              if(offset == 0) {\n                result["+l+"] = values[0];\n              } else if(offset == 1) {\n                result["+l+"] = values[1];\n              } else if(offset == 2) {\n                result["+l+"] = values[2];\n              } else {\n                result["+l+"] = values[3];\n              }\n            }\n          }\n        "}this.userCode="\n      "+Qo(t)+"\n\n      void main() {\n        ivec3 coords = getOutputCoords();\n\n        vec4 result = vec4(0.);\n        int flatIndex, r, c, offset;\n        ivec3 localCoords;\n        vec2 uv;\n        vec4 values;\n\n        "+i+"\n\n        "+r.output+" = "+s+";\n      }\n    "},Za="return real * expR - imag * expI;",ti="return real * expI + imag * expR;",ei=function(t,e,n){this.variableNames=["real","imag"];var r=e[1];this.outputShape=e;var o=n?"2.0 * "+Math.PI:"-2.0 * "+Math.PI,a=n?r+".0":"1.0";this.userCode="\n      const float exponentMultiplier = "+o+";\n\n      float unaryOpComplex(float real, float expR, float imag, float expI) {\n        "+t+"\n      }\n\n      float mulMatDFT(int batch, int index) {\n        float indexRatio = float(index) / float("+r+");\n        float exponentMultiplierTimesIndexRatio =\n            exponentMultiplier * indexRatio;\n\n        float result = 0.0;\n\n        for (int i = 0; i < "+r+"; i++) {\n          // x = (-2|2 * PI / N) * index * i;\n          float x = exponentMultiplierTimesIndexRatio * float(i);\n          float expR = cos(x);\n          float expI = sin(x);\n          float real = getReal(batch, i);\n          float imag = getImag(batch, i);\n\n          result +=\n              unaryOpComplex(real, expR, imag, expI) / "+a+";\n        }\n\n        return result;\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        setOutput(mulMatDFT(coords[0], coords[1]));\n      }\n    "},ni=function(){function t(t,e){this.outputShape=[],this.variableNames=["x"],this.outputShape=t,this.userCode="\n      uniform float value;\n      void main() {\n        // Input can be obtained from uniform value.\n        setOutput(value);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.valueLoc&&(e.valueLoc=n.getUniformLocationNoThrow(r,"value")),n.gl.uniform1f(e.valueLoc,t)}},t}(),ri=function(t){this.variableNames=["A"];var e=$o(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n        vec2 uv = (vec2(texC, texR) + halfCR) / vec2("+r+".0, "+n+".0);\n\n        vec4 values = "+e.texture2D+"(A, uv);\n        float value;\n        if (depth == 0) {\n          value = values.r;\n        } else if (depth == 1) {\n          value = values.g;\n        } else if (depth == 2) {\n          value = values.b;\n        } else if (depth == 3) {\n          value = values.a;\n        }\n\n        setOutput(floor(value * 255.0 + 0.5));\n      }\n    "},oi=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0;var e=$o(),n=t[0],r=t[1];this.outputShape=t,this.userCode="\n      void main() {\n        ivec3 coords = getOutputCoords();\n        int texR = coords[0];\n        int texC = coords[1];\n        int depth = coords[2];\n\n        vec4 result = vec4(0.);\n\n        for(int row=0; row<=1; row++) {\n          for(int col=0; col<=1; col++) {\n            texC = coords[1] + row;\n            depth = coords[2] + col;\n\n            vec2 uv = (vec2(texC, texR) + halfCR) /\n                       vec2("+r+".0, "+n+".0);\n            vec4 values = "+e.texture2D+"(A, uv);\n            float value;\n            if (depth == 0) {\n              value = values.r;\n            } else if (depth == 1) {\n              value = values.g;\n            } else if (depth == 2) {\n              value = values.b;\n            } else if (depth == 3) {\n              value = values.a;\n            }\n\n            result[row * 2 + col] = floor(value * 255.0 + 0.5);\n          }\n        }\n\n        "+e.output+" = result;\n      }\n    "},ai=function(t,e,n){this.variableNames=["A","indices"];var r=t.slice();r[n]=e,this.outputShape=r,this.rank=r.length;var o=ua(this.rank),a=function(t,e){var n=t.length;if(n>4)throw Error("Gather for rank "+n+" is not yet supported");if(1===n)return"int(getIndices(resRC))";for(var r=["resRC.x","resRC.y","resRC.z","resRC.w"],o=[],a=0;a<t.length;a++)a===e?o.push("int(getIndices("+r[a]+"))"):o.push(""+r[a]);return o.join()}(t,n);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "},ii=function(t,e,n){this.sliceDim=t,this.strides=e,this.variableNames=["x","indices"],this.outputShape=n;var r=ua(e.length),o=ua(n.length),a=this.sliceDim>1?"strides[j]":"strides";this.userCode="\n        "+r+" strides = "+r+"("+this.strides+");\n         void main() {\n          "+o+" coords = getOutputCoords();\n          int flattenIndex = 0;\n          for (int j = 0; j < "+this.sliceDim+"; j++) {\n            int index = round(getIndices(coords[0], j));\n            flattenIndex += index * "+a+";\n          }\n          setOutput(getX(flattenIndex, coords[1]));\n        }\n      "};function si(t,e){var n=$o();return ee(t,e,n.version+"\n    precision highp float;\n    "+n.attribute+" vec3 clipSpacePos;\n    "+n.attribute+" vec2 uv;\n    "+n.varyingVs+" vec2 resultUV;\n\n    void main() {\n      gl_Position = vec4(clipSpacePos, 1);\n      resultUV = uv;\n    }")}function ui(t,e){return ce(t,e,new Float32Array([-1,1,0,0,1,-1,-1,0,0,0,1,1,0,1,1,1,-1,0,1,0]))}function ci(t,e){return le(t,e,new Uint16Array([0,1,2,2,1,3]))}function li(t,e,n,r,o,a,i){he(n,r);var s=pe(t,e),u=t.TEXTURE_2D;return $t(t,e,function(){return t.bindTexture(u,s)}),$t(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE)}),$t(t,e,function(){return t.texParameteri(u,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE)}),$t(t,e,function(){return t.texParameteri(u,t.TEXTURE_MIN_FILTER,t.NEAREST)}),$t(t,e,function(){return t.texParameteri(u,t.TEXTURE_MAG_FILTER,t.NEAREST)}),$t(t,e,function(){return t.texImage2D(u,0,o,n,r,0,a,i,null)}),$t(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)}),s}function pi(t,e,n,r,o){var a=qt(n,r);return li(t,e,a[0],a[1],o.internalFormatFloat,o.textureFormatFloat,t.FLOAT)}function hi(t,e,n,r,o){var a=qt(n,r);return li(t,e,a[0],a[1],o.internalFormatHalfFloat,o.textureFormatFloat,o.textureTypeHalfFloat)}function di(t,e,n,r,o){var a=qt(n,r);return li(t,e,a[0],a[1],t.RGBA,t.RGBA,t.UNSIGNED_BYTE)}function fi(t,e,n,r,o){var a=jt(n,r);return li(t,e,a[0],a[1],o.internalFormatPackedFloat,t.RGBA,t.FLOAT)}function vi(t,e,n,r,o){var a=jt(n,r);return li(t,e,a[0],a[1],o.internalFormatPackedHalfFloat,t.RGBA,o.textureTypeHalfFloat)}function mi(t,e,n,r){return $t(t,e,function(){return t.bindBuffer(t.ARRAY_BUFFER,r)}),fe(t,e,n,"clipSpacePos",r,3,20,0)&&fe(t,e,n,"uv",r,2,20,12)}function gi(t,e,n,r,o,a,i){var s,u,c;$t(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)}),a instanceof Uint8Array?(s=new Uint8Array(r*o*4),u=t.UNSIGNED_BYTE,c=t.RGBA):(s=new Float32Array(r*o*4),u=t.FLOAT,c=i.internalFormatPackedFloat),s.set(a),$t(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,c,r,o,0,t.RGBA,u,s)}),$t(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function xi(t,e,n,r){$t(t,e,function(){return t.bindTexture(t.TEXTURE_2D,n)}),r.data instanceof Uint8Array?$t(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,r.width,r.height,0,t.RGBA,t.UNSIGNED_BYTE,r.data)}):$t(t,e,function(){return t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,r)}),$t(t,e,function(){return t.bindTexture(t.TEXTURE_2D,null)})}function yi(t,e,n,r,o){var a=t.createBuffer();$t(t,e,function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,a)});var i=16*n*r;return $t(t,e,function(){return t.bufferData(t.PIXEL_PACK_BUFFER,i,t.STREAM_READ)}),$t(t,e,function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,0)}),$t(t,e,function(){return t.bindBuffer(t.PIXEL_PACK_BUFFER,null)}),a}function bi(t,e,n){var r=t,o=new Float32Array(n);return r.bindBuffer(r.PIXEL_PACK_BUFFER,e),r.getBufferSubData(r.PIXEL_PACK_BUFFER,0,o),r.bindBuffer(r.PIXEL_PACK_BUFFER,null),o}function wi(t,e,n,r,o){var a=qt(n,r),i=a[0],s=a[1],u=new Uint8Array(n*r*4);return $t(t,e,function(){return t.readPixels(0,0,i,s,o.downloadTextureFormat,t.UNSIGNED_BYTE,u)}),new Float32Array(u.buffer)}function Ci(t,e,n,r,o,a,i,s){var u=t,c=new Float32Array(function(t,e){var n=jt(a,i);return n[0]*n[1]*4}());return u.bindBuffer(u.PIXEL_PACK_BUFFER,e),u.getBufferSubData(u.PIXEL_PACK_BUFFER,0,c),u.bindBuffer(u.PIXEL_PACK_BUFFER,null),c}function Ei(t,e,n,r){var o=new Float32Array(n*r*4);return $t(t,e,function(){return t.readPixels(0,0,r,n,t.RGBA,t.FLOAT,o)}),o}var Ri=Object.freeze({createVertexShader:si,createVertexBuffer:ui,createIndexBuffer:ci,createFloat32MatrixTexture:pi,createFloat16MatrixTexture:hi,createUnsignedBytesMatrixTexture:di,createPackedMatrixTexture:fi,createFloat16PackedMatrixTexture:vi,bindVertexProgramAttributeStreams:mi,uploadDenseMatrixToTexture:gi,uploadPixelDataToTexture:xi,createBufferFromOutputTexture:yi,downloadFloat32MatrixFromBuffer:bi,downloadByteEncodedFloatMatrixFromOutputTexture:wi,downloadPackedMatrixFromBuffer:Ci,downloadMatrixFromPackedOutputTexture:Ei}),Ii=function(){function t(t){this.outputTexture=null,this.program=null,this.disposed=!1,this.vertexAttrsAreBound=!1,this.itemsToPoll=[];var e=u().getNumber("WEBGL_VERSION");if(null!=t?(this.gl=t,Vt(e,t)):this.gl=Gt(e),1===u().getNumber("WEBGL_VERSION"))this.textureFloatExtension=te(this.gl,this.debug,"OES_texture_float"),this.colorBufferFloatExtension=this.gl.getExtension("WEBGL_color_buffer_float"),this.textureHalfFloatExtension=te(this.gl,this.debug,"OES_texture_half_float"),this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float");else if(_e(this.gl,"EXT_color_buffer_float"))this.colorBufferFloatExtension=this.gl.getExtension("EXT_color_buffer_float");else{if(!_e(this.gl,"EXT_color_buffer_half_float"))throw new Error("GL context does not support color renderable floats");this.colorBufferHalfFloatExtension=this.gl.getExtension("EXT_color_buffer_half_float")}this.vertexBuffer=ui(this.gl,this.debug),this.indexBuffer=ci(this.gl,this.debug),this.framebuffer=de(this.gl,this.debug),this.textureConfig=Xt(this.gl,this.textureHalfFloatExtension)}return Object.defineProperty(t.prototype,"debug",{get:function(){return u().getBool("DEBUG")},enumerable:!0,configurable:!0}),t.prototype.dispose=function(){var t=this;if(!this.disposed){null!=this.program&&console.warn("Disposing a GPGPUContext that still has a bound WebGLProgram. This is probably a resource leak, delete the program with GPGPUContext.deleteProgram before disposing."),null!=this.outputTexture&&console.warn("Disposing a GPGPUContext that still has a bound output matrix texture.  This is probably a resource leak, delete the output matrix texture with GPGPUContext.deleteMatrixTexture before disposing.");var e=this.gl;$t(e,this.debug,function(){return e.finish()}),$t(e,this.debug,function(){return e.bindFramebuffer(e.FRAMEBUFFER,null)}),$t(e,this.debug,function(){return e.deleteFramebuffer(t.framebuffer)}),$t(e,this.debug,function(){return e.bindBuffer(e.ARRAY_BUFFER,null)}),$t(e,this.debug,function(){return e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,null)}),$t(e,this.debug,function(){return e.deleteBuffer(t.indexBuffer)}),this.disposed=!0}},t.prototype.createFloat32MatrixTexture=function(t,e){return this.throwIfDisposed(),pi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createFloat16MatrixTexture=function(t,e){return this.throwIfDisposed(),hi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createUnsignedBytesMatrixTexture=function(t,e){return this.throwIfDisposed(),di(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.uploadPixelDataToTexture=function(t,e){this.throwIfDisposed(),xi(this.gl,this.debug,t,e)},t.prototype.uploadDenseMatrixToTexture=function(t,e,n,r){this.throwIfDisposed(),gi(this.gl,this.debug,t,e,n,r,this.textureConfig)},t.prototype.createFloat16PackedMatrixTexture=function(t,e){return this.throwIfDisposed(),vi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.createPackedMatrixTexture=function(t,e){return this.throwIfDisposed(),fi(this.gl,this.debug,t,e,this.textureConfig)},t.prototype.deleteMatrixTexture=function(t){var e=this;this.throwIfDisposed(),this.outputTexture===t&&(be(this.gl,this.debug,this.framebuffer),this.outputTexture=null),$t(this.gl,this.debug,function(){return e.gl.deleteTexture(t)})},t.prototype.downloadByteEncodedFloatMatrixFromOutputTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return wi(r.gl,r.debug,e,n,r.textureConfig)})},t.prototype.downloadPackedMatrixFromBuffer=function(t,e,n,r,o,a){return Ci(this.gl,t,0,0,0,o,a,this.textureConfig)},t.prototype.downloadFloat32MatrixFromBuffer=function(t,e){return bi(this.gl,t,e)},t.prototype.createBufferFromTexture=function(t,e,n){this.bindTextureToFrameBuffer(t);var r=yi(this.gl,this.debug,e,n,this.textureConfig);return this.unbindTextureToFrameBuffer(),r},t.prototype.createAndWaitForFence=function(){var t=this.createFence(this.gl);return this.pollFence(t)},t.prototype.createFence=function(t){var e,n,r=this;if(u().getBool("WEBGL_FENCE_API_ENABLED")){var o=t,a=o.fenceSync(o.SYNC_GPU_COMMANDS_COMPLETE,0);t.flush(),n=function(){var t=o.clientWaitSync(a,0,0);return t===o.ALREADY_SIGNALED||t===o.CONDITION_SATISFIED},e=a}else u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(e=this.beginQuery(),this.endQuery(),n=function(){return r.isQueryAvailable(e,u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))}):n=function(){return!0};return{query:e,isFencePassed:n}},t.prototype.downloadMatrixFromPackedTexture=function(t,e,n){var r=this;return this.downloadMatrixDriver(t,function(){return Ei(r.gl,r.debug,e,n)})},t.prototype.createProgram=function(t){this.throwIfDisposed();var e=this.gl,n=ne(e,this.debug,t),r=si(e,this.debug),o=ie(e,this.debug);return $t(e,this.debug,function(){return e.attachShader(o,r)}),$t(e,this.debug,function(){return e.attachShader(o,n)}),se(e,this.debug,o),this.debug&&ue(e,this.debug,o),this.vertexAttrsAreBound||(this.setProgram(o),this.vertexAttrsAreBound=mi(e,this.debug,this.program,this.vertexBuffer)),o},t.prototype.deleteProgram=function(t){var e=this;this.throwIfDisposed(),t===this.program&&(this.program=null),null!=t&&$t(this.gl,this.debug,function(){return e.gl.deleteProgram(t)})},t.prototype.setProgram=function(t){var e=this;this.throwIfDisposed(),this.program=t,null!=this.program&&this.debug&&ue(this.gl,this.debug,this.program),$t(this.gl,this.debug,function(){return e.gl.useProgram(t)})},t.prototype.getUniformLocation=function(t,e,n){return void 0===n&&(n=!0),this.throwIfDisposed(),n?me(this.gl,this.debug,t,e):ge(this.gl,t,e)},t.prototype.getAttributeLocation=function(t,e){var n=this;return this.throwIfDisposed(),$t(this.gl,this.debug,function(){return n.gl.getAttribLocation(t,e)})},t.prototype.getUniformLocationNoThrow=function(t,e){return this.throwIfDisposed(),this.gl.getUniformLocation(t,e)},t.prototype.setInputMatrixTexture=function(t,e,n){this.throwIfDisposed(),this.throwIfNoProgram(),xe(this.gl,this.debug,this.program,t,e,n)},t.prototype.setOutputMatrixTexture=function(t,e,n){this.setOutputMatrixTextureDriver(t,n,e)},t.prototype.setOutputPackedMatrixTexture=function(t,e,n){this.throwIfDisposed();var r=jt(e,n),o=r[0],a=r[1];this.setOutputMatrixTextureDriver(t,o,a)},t.prototype.setOutputMatrixWriteRegion=function(t,e,n,r){this.setOutputMatrixWriteRegionDriver(n,t,r,e)},t.prototype.setOutputPackedMatrixWriteRegion=function(t,e,n,r){throw new Error("setOutputPackedMatrixWriteRegion not implemented.")},t.prototype.debugValidate=function(){null!=this.program&&ue(this.gl,this.debug,this.program),we(this.gl)},t.prototype.executeProgram=function(){this.throwIfDisposed(),this.throwIfNoProgram();var t=this.gl;this.debug&&this.debugValidate(),$t(t,this.debug,function(){return t.drawElements(t.TRIANGLES,6,t.UNSIGNED_SHORT,0)})},t.prototype.blockUntilAllProgramsCompleted=function(){var t=this;this.throwIfDisposed(),$t(this.gl,this.debug,function(){return t.gl.finish()})},t.prototype.getQueryTimerExtension=function(){return null==this.disjointQueryTimerExtension&&(this.disjointQueryTimerExtension=te(this.gl,this.debug,2===u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")?"EXT_disjoint_timer_query_webgl2":"EXT_disjoint_timer_query")),this.disjointQueryTimerExtension},t.prototype.getQueryTimerExtensionWebGL2=function(){return this.getQueryTimerExtension()},t.prototype.getQueryTimerExtensionWebGL1=function(){return this.getQueryTimerExtension()},t.prototype.beginQuery=function(){if(2===u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.gl,e=this.getQueryTimerExtensionWebGL2(),n=t.createQuery();return t.beginQuery(e.TIME_ELAPSED_EXT,n),n}var r=this.getQueryTimerExtensionWebGL1(),o=r.createQueryEXT();return r.beginQueryEXT(r.TIME_ELAPSED_EXT,o),o},t.prototype.endQuery=function(){if(2!==u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")){var t=this.getQueryTimerExtensionWebGL1();t.endQueryEXT(t.TIME_ELAPSED_EXT)}else{var e=this.gl,n=this.getQueryTimerExtensionWebGL2();e.endQuery(n.TIME_ELAPSED_EXT)}},t.prototype.waitForQueryAndGetTime=function(t){return a(this,void 0,void 0,function(){var e=this;return i(this,function(n){switch(n.label){case 0:return[4,T(function(){return e.disposed||e.isQueryAvailable(t,u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))})];case 1:return n.sent(),[2,this.getQueryTime(t,u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION"))]}})})},t.prototype.getQueryTime=function(t,e){if(0===e)return null;if(2===e){var n=this.gl;return n.getQueryParameter(t,n.QUERY_RESULT)/1e6}var r=this.getQueryTimerExtensionWebGL1();return r.getQueryObjectEXT(t,r.QUERY_RESULT_EXT)/1e6},t.prototype.isQueryAvailable=function(t,e){if(0===e)return!0;if(2===e){var n=this.gl,r=this.getQueryTimerExtensionWebGL2(),o=n.getQueryParameter(t,n.QUERY_RESULT_AVAILABLE);return null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint}return o=(r=this.getQueryTimerExtensionWebGL1()).getQueryObjectEXT(t,r.QUERY_RESULT_AVAILABLE_EXT),null==this.disjoint&&(this.disjoint=this.gl.getParameter(r.GPU_DISJOINT_EXT)),o&&!this.disjoint},t.prototype.pollFence=function(t){var e=this;return new Promise(function(n){e.addItemToPoll(function(){return t.isFencePassed()},function(){return n()})})},t.prototype.pollItems=function(){for(var t=function(t){for(var e=0;e<t.length;++e){if(!t[e]())break}return e-1}(this.itemsToPoll.map(function(t){return t.isDoneFn})),e=0;e<=t;++e)(0,this.itemsToPoll[e].resolveFn)();this.itemsToPoll=this.itemsToPoll.slice(t+1)},t.prototype.addItemToPoll=function(t,e){var n=this;this.itemsToPoll.push({isDoneFn:t,resolveFn:e}),this.itemsToPoll.length>1||T(function(){return n.pollItems(),0===n.itemsToPoll.length})},t.prototype.bindTextureToFrameBuffer=function(t){this.throwIfDisposed(),ye(this.gl,this.debug,t,this.framebuffer),this.debug&&we(this.gl)},t.prototype.unbindTextureToFrameBuffer=function(){null!=this.outputTexture?(ye(this.gl,this.debug,this.outputTexture,this.framebuffer),this.debug&&we(this.gl)):be(this.gl,this.debug,this.framebuffer)},t.prototype.downloadMatrixDriver=function(t,e){this.bindTextureToFrameBuffer(t);var n=e();return this.unbindTextureToFrameBuffer(),n},t.prototype.setOutputMatrixTextureDriver=function(t,e,n){this.throwIfDisposed();var r=this.gl;ye(r,this.debug,t,this.framebuffer),this.debug&&we(r),this.outputTexture=t,$t(r,this.debug,function(){return r.viewport(0,0,e,n)}),$t(r,this.debug,function(){return r.scissor(0,0,e,n)})},t.prototype.setOutputMatrixWriteRegionDriver=function(t,e,n,r){var o=this;this.throwIfDisposed(),$t(this.gl,this.debug,function(){return o.gl.scissor(t,e,n,r)})},t.prototype.throwIfDisposed=function(){if(this.disposed)throw new Error("Attempted to use disposed GPGPUContext.")},t.prototype.throwIfNoProgram=function(){if(null==this.program)throw new Error("No GPU program is currently set.")},t}();function ki(t,e){if(t.length!==e.length)throw Error("Binary was compiled with "+t.length+" inputs, but was executed with "+e.length+" inputs");t.forEach(function(t,n){var r=t.logicalShape,o=e[n],a=o.shape;if(!I(r,a))throw Error("Binary was compiled with different shapes than the current args. Shapes "+r+" and "+a+" must match");if(!t.isUniform||!o.isUniform){var i=t.texShape,s=o.isUniform?null:o.texData.texShape;if(!I(i,s))throw Error("Binary was compiled with different texture shapes than the current args. Shape "+i+" and "+s+" must match")}})}var Si=function(t,e,n){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var r=n.filterWidth,o=n.inChannels,a=n.strideWidth,i=n.strideHeight,s=n.padInfo,u=n.outWidth,c=n.dilationWidth,l=n.dilationHeight,p=n.dataFormat,h=s.left,d=s.top,f=o*r,v=$o(),m="channelsLast"===p,g=m?0:1,x=m?1:2,y="",b=0;b<=1;b++)for(var w=0;w<=1;w++)y+="\n          blockIndex = rc.y + "+w+";\n          pos = rc.x + "+b+";\n\n          if(blockIndex < "+t[1]+" && pos < "+t[0]+") {\n            offsetY = int(blockIndex / ("+u+")) * "+i+" - "+d+";\n            d0 = offsetY + "+l+" * (pos / "+f+");\n\n            if(d0 < "+e[g]+" && d0 >= 0) {\n\n              offsetX = int(mod(float(blockIndex), "+u+".) * "+a+". - "+h+".);\n              d1 = offsetX + "+c+" * (int(mod(float(pos), "+f+".) / "+o+".));\n\n              if(d1 < "+e[x]+" && d1 >= 0) {\n\n                ch = int(mod(float(pos), "+o+".));\n\n                if ("+m+") {\n                  innerDims = vec2(d1, ch);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(d0, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                } else {\n                  innerDims = vec2(d0, d1);\n                  result["+(2*b+w)+"] = getChannel(\n                    getA(ch, int(innerDims.x),\n                    int(innerDims.y)), innerDims);\n                }\n              }\n            }\n          }\n        ";this.userCode="\n      void main() {\n        ivec2 rc = getOutputCoords();\n\n        vec4 result = vec4(0);\n\n        int blockIndex, pos, offsetY, d0, offsetX, d1, ch;\n        vec2 innerDims;\n\n        "+y+"\n\n        "+v.output+" = result;\n      }\n    "},Ai=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[];var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n        int d = coords[3];\n        float x = getX(b, r, c, d);\n        float sum = 0.0;\n        for (int j = -"+i+"; j <= "+i+"; j++) {\n          int idx = d + j;\n          if (idx >= 0 && idx <=  "+s+") {\n            float z = getX(b, r, c, idx);\n            sum += z * z;\n          }\n        }\n        float val = x * "+a+";\n        setOutput(val);\n      }\n    "},Di=function(t,e,n,r,o){this.variableNames=["inputImage","outputImage","dy"],this.outputShape=[],this.outputShape=t,this.depth=t[3],this.depthRadius=e,this.bias=n,this.alpha=r,this.beta=o,this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int r = coords[1];\n        int c = coords[2];\n\n        float result = 0.0;\n        for (int d = 0; d < "+this.depth+"; ++d) {\n          int depthBegin = int(max(0.0, float(d - "+e+")));\n          int depthEnd = int(min(float("+this.depth+"),\n              float(d + "+e+" + 1)));\n\n          const int MIN_DEPTH_BEGIN = 0;\n          const int MAX_DEPTH_END = "+this.depth+";\n\n          float norm = 0.0;\n          for (int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k) {\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd) {\n              norm += getInputImage(b, r, c, k) * getInputImage(b, r, c, k);\n            }\n            else {\n              break;\n            }\n          }\n\n          norm = float("+r+") * norm + float("+n+");\n\n          for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){\n            if (k < depthBegin){\n              continue;\n            }\n            else if (k >= depthBegin && k < depthEnd){\n              float dyi = -2.0 * float("+r+")\n                * float("+o+")\n                * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)\n                / norm;\n              if (k == d) {\n                dyi += pow(norm, -1.0 * "+o+");\n              }\n              if (k == coords[3]) {\n                dyi *= getDy(b, r, c, d);\n                result += dyi;\n              }\n            }\n            else {\n              break;\n            }\n          }\n      }\n      setOutput(result);\n      }\n    "},Ti=function(t,e,n,r,o){this.variableNames=["x"],this.outputShape=[],this.packedInputs=!0,this.packedOutput=!0;var a,i=e,s=t[3]-1;this.outputShape=t;var u="float("+n+") + float("+r+") * sum";a=.5===o?"inversesqrt("+u+")":1===o?"1.0/("+u+")":"exp(log("+u+") * float(-"+o+"));",this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords.x;\n        int r = coords.y;\n        int c = coords.z;\n        int d = coords.w;\n\n        bool hasNextCol = d < "+this.outputShape[3]+";\n        bool hasNextRow = c < "+this.outputShape[2]+";\n\n        vec4 sum = vec4(0.);\n        vec4 xFragAtOutputCoords = getX(b, r, c, d);\n\n        vec4 xAtOutputCoords = vec4(\n          getChannel(xFragAtOutputCoords, vec2(c, d)),\n          hasNextCol ?\n            getChannel(xFragAtOutputCoords, vec2(c, d + 1)) : 0.0,\n          hasNextRow ?\n            getChannel(xFragAtOutputCoords , vec2(c + 1, d)) : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getChannel(xFragAtOutputCoords, vec2(c + 1, d + 1)) : 0.0\n        );\n\n        int firstChannel = d - "+i+";\n        vec2 cache = vec2(0.);\n        if(firstChannel >= 0){\n          vec4 firstChannelFrag = getX(b, r, c, firstChannel);\n          cache.x = getChannel(firstChannelFrag, vec2(c, firstChannel));\n            if(hasNextRow){\n              cache.y = getChannel(firstChannelFrag, vec2(c + 1, firstChannel));\n            }\n        }\n\n        ivec2 depth = ivec2(d, d + 1);\n        for (int j = - "+i+"; j <= "+i+"; j++) {\n          ivec2 idx = depth + j;\n          bvec2 aboveLowerBound = greaterThanEqual(idx, ivec2(0));\n          bvec2 belowUpperBound = lessThanEqual(idx, ivec2("+s+"));\n\n          bool depthInRange = aboveLowerBound.x && belowUpperBound.x;\n          bool depthPlusOneInRange = aboveLowerBound.y && belowUpperBound.y;\n\n          if(depthInRange || depthPlusOneInRange){\n            vec4 z = vec4(0.);\n            vec4 xFragAtCurrentDepth;\n            z.xz = cache.xy;\n            if(depthPlusOneInRange && hasNextCol){\n              xFragAtCurrentDepth = idx.y != d ?\n                getX(b, r, c, idx.y) : xFragAtOutputCoords;\n              z.y = getChannel(xFragAtCurrentDepth, vec2(c, idx.y));\n              if(hasNextRow){\n                z.w = getChannel(xFragAtCurrentDepth, vec2(c + 1, idx.y));\n              }\n            }\n            cache.xy = z.yw;\n            sum += z * z;\n          }\n        }\n        vec4 result = xAtOutputCoords * "+a+";\n        setOutput(result);\n      }\n    "},Ni=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideHeight,n=t.strideWidth,r=t.dilationHeight,o=t.effectiveFilterHeight,a=t.effectiveFilterWidth,i=o-1-t.padInfo.top,s=a-1-t.padInfo.left,u=o*a-1;this.userCode="\n      const ivec2 pads = ivec2("+i+", "+s+");\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n\n        ivec2 dyRCCorner = coords.yz - pads;\n        int dyRCorner = dyRCCorner.x;\n        int dyCCorner = dyRCCorner.y;\n\n        // Convolve dy(?, ?, d) with pos mask(:, :, d) to get dx(xR, xC, d).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n        for (int wR = 0; wR < "+o+";\n          wR += "+r+") {\n          float dyR = float(dyRCorner + wR) / "+e+".0;\n\n          if (dyR < 0.0 || dyR >= "+t.outHeight+".0 || fract(dyR) > 0.0) {\n            continue;\n          }\n          int idyR = int(dyR);\n\n          for (int wC = 0; wC < "+a+"; wC++) {\n            float dyC = float(dyCCorner + wC) / "+n+".0;\n\n            if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                fract(dyC) > 0.0) {\n              continue;\n            }\n            int idyC = int(dyC);\n\n            float dyValue = getDy(b, idyR, idyC, d);\n            int maxPosValue = "+u+" - int(getMaxPos(b, idyR, idyC, d));\n\n            // Get the current value, check it against the value from the\n            // position matrix.\n            int curPosValue = wR * "+a+" + wC;\n            float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n            dotProd += dyValue * mask;\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Fi=function(t){this.variableNames=["dy","maxPos"],this.outputShape=t.inShape;var e=t.strideDepth,n=t.strideHeight,r=t.strideWidth,o=t.dilationDepth,a=t.dilationHeight,i=t.dilationWidth,s=t.effectiveFilterDepth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=s-1-t.padInfo.front,p=u-1-t.padInfo.top,h=c-1-t.padInfo.left,d=s*u*c-1;this.userCode="\n      const ivec3 pads = ivec3("+l+", "+p+", "+h+");\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 dyCorner = ivec3(coords.y, coords.z, coords.w) - pads;\n        int dyDCorner = dyCorner.x;\n        int dyRCorner = dyCorner.y;\n        int dyCCorner = dyCorner.z;\n\n        // Convolve dy(?, ?, ?, ch) with pos mask(:, :, :, d) to get\n        // dx(xD, xR, xC, ch).\n        // ? = to be determined. : = across all values in that axis.\n        float dotProd = 0.0;\n\n        for (int wD = 0; wD < "+s+";\n           wD += "+o+") {\n          float dyD = float(dyDCorner + wD) / "+e+".0;\n\n          if (dyD < 0.0 || dyD >= "+t.outDepth+".0 || fract(dyD) > 0.0) {\n            continue;\n          }\n          int idyD = int(dyD);\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+a+") {\n            float dyR = float(dyRCorner + wR) / "+n+".0;\n\n            if (dyR < 0.0 || dyR >= "+t.outHeight+".0 ||\n                fract(dyR) > 0.0) {\n              continue;\n            }\n            int idyR = int(dyR);\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+i+") {\n              float dyC = float(dyCCorner + wC) / "+r+".0;\n\n              if (dyC < 0.0 || dyC >= "+t.outWidth+".0 ||\n                  fract(dyC) > 0.0) {\n                continue;\n              }\n              int idyC = int(dyC);\n\n              float dyValue = getDy(batch, idyD, idyR, idyC, ch);\n              int maxPosValue = "+d+" -\n                  int(getMaxPos(batch, idyD, idyR, idyC, ch));\n\n              // Get the current value, check it against the value from the\n              // position matrix.\n              int curPosValue =\n                  wD * "+u+" * "+c+" +\n                  wR * "+c+" + wC;\n              float mask = float(maxPosValue == curPosValue ? 1.0 : 0.0);\n\n              dotProd += dyValue * mask;\n            }\n          }\n        }\n        setOutput(dotProd);\n      }\n    "},Oi=function(t,e,n,r,o,a,i){void 0===n&&(n=!1),void 0===r&&(r=!1),void 0===o&&(o=!1),void 0===a&&(a=null),void 0===i&&(i=!1),this.variableNames=["matrixA","matrixB"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e;var s=n?t[1]:t[2],u=Math.ceil(s/2),c=n?"i * 2, rc.y":"rc.y, i * 2",l=r?"rc.z, i * 2":"i * 2, rc.z",p=n?["a.xxyy","a.zzww"]:["a.xxzz","a.yyww"],h=r?["b.xzxz","b.ywyw"]:["b.xyxy","b.zwzw"],d="",f="";a&&(d=i?"vec4 activation(vec4 a) {\n          vec4 b = getPreluActivationWeightsAtOutCoords();\n          "+a+"\n        }":"vec4 activation(vec4 x) {\n          "+a+"\n        }",f="result = activation(result);");var v=o?"result += getBiasAtOutCoords();":"";o&&this.variableNames.push("bias"),i&&this.variableNames.push("preluActivationWeights"),this.userCode="\n      "+d+"\n\n      const float sharedDimension = "+u+".0;\n\n      vec4 dot2x2ARowBCol(ivec3 rc) {\n        vec4 result = vec4(0);\n        for (int i = 0; i < "+u+"; i++) {\n          vec4 a = getMatrixA(rc.x, "+c+");\n          vec4 b = getMatrixB(rc.x, "+l+");\n\n          // These swizzled products need to be separately added.\n          // See: https://github.com/tensorflow/tfjs/issues/1735\n          result += ("+p[0]+" * "+h[0]+");\n          result += ("+p[1]+" * "+h[1]+");\n        }\n        return result;\n      }\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n        vec4 result = dot2x2ARowBCol(rc);\n\n        "+v+"\n\n        "+f+"\n\n        setOutput(result);\n      }\n    "},_i=function(){function t(t,e,n){this.variableNames=["probs"],this.outputShape=[t,n],this.userCode="\n      uniform float seed;\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n\n        float r = random(seed);\n        float cdf = 0.0;\n\n        for (int i = 0; i < "+(e-1)+"; i++) {\n          cdf += getProbs(batch, i);\n\n          if (r < cdf) {\n            setOutput(float(i));\n            return;\n          }\n        }\n\n        // If no other event happened, last event happened.\n        setOutput(float("+(e-1)+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;return function(n,r){null==e.seedLoc&&(e.seedLoc=n.getUniformLocation(r,"seed")),n.gl.uniform1f(e.seedLoc,t)}},t}(),Mi=function(t,e,n,r){this.variableNames=["indices"],this.outputShape=[t,e],this.userCode="\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int index = round(getIndices(coords.x));\n        setOutput(mix(float("+r+"), float("+n+"),\n                      float(index == coords.y)));\n      }\n    "},Bi=function(t){this.variableNames=["A"],this.packedInputs=!1,this.packedOutput=!0,this.outputShape=t;var e=t.length;if(0===e)this.userCode="\n        void main() {\n          setOutput(vec4(getA(), 0., 0., 0.));\n        }\n      ";else{var n=Xo("rc",e),r=ua(e),o=function(t,e,n){if(1===t)return"rc > "+e[0];for(var r="",o=t-2;o<t;o++)r+=n[o]+" >= "+e[o],o<t-1&&(r+="||");return r}(e,t,n),a=function(t,e,n,r){if(1===t)return"";var o=r.slice(-2);return"\n    int r = "+o[0]+";\n    int c = "+o[1]+";\n    int rp1 = r + 1;\n    int cp1 = c + 1;\n\n    bool cEdge = cp1 >= "+e+";\n    bool rEdge = rp1 >= "+n+";\n  "}(e,t[t.length-1],t[t.length-2],n),i=function(t,e){var n=t.length,r=function(t,e){for(var n=[],r=0;r<=1;r++)for(var o=0;o<=1;o++){for(var a=(0===r?"r":"rp1")+", "+(0===o?"c":"cp1"),i=2;i<t;i++)a=e[e.length-1-i]+","+a;n.push(a)}return n}(n,e);return 1===n?"getA(rc),\n            rc + 1 >= "+t[0]+" ? 0. : getA(rc + 1),\n            0, 0":"getA("+r[0]+"),\n          cEdge ? 0. : getA("+r[1]+"),\n          rEdge ? 0. : getA("+r[2]+"),\n          rEdge || cEdge ? 0. : getA("+r[3]+")"}(t,n);this.userCode="\n        void main() {\n          "+r+" rc = getOutputCoords();\n\n          if("+o+") {\n            setOutput(vec4(0));\n          } else {\n            "+a+"\n\n            setOutput(vec4("+i+"));\n          }\n        }\n      "}},Pi=function(t,e,n){this.variableNames=["x"],this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});var r=t.length,o=ua(r),a=e.map(function(t){return t[0]}).join(","),i=e.map(function(e,n){return e[0]+t[n]}).join(","),s=["coords[0]","coords[1]","coords[2]","coords[3]"].slice(0,r);this.userCode=1!==r?"\n      "+o+" start = "+o+"("+a+");\n      "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outC = getOutputCoords();\n        if (any(lessThan(outC, start)) || any(greaterThanEqual(outC, end))) {\n          setOutput(float("+n+"));\n        } else {\n          "+o+" coords = outC - start;\n          setOutput(getX("+s+"));\n        }\n      }\n    ":"\n        int start = "+a+";\n        int end = "+i+";\n\n        void main() {\n          int outC = getOutputCoords();\n          if (outC < start || outC >= end) {\n            setOutput(float("+n+"));\n          } else {\n            setOutput(getX(outC - start));\n          }\n        }\n      "},Li=function(t,e,n){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=e.map(function(e,n){return e[0]+t[n]+e[1]});for(var r=t.length,o=ua(r),a=e.map(function(t){return t[0]}).join(","),i=e.map(function(e,n){return e[0]+t[n]}).join(","),s=Xo("rc",r),u=Xo("source",r),c=s[r-1]+" < "+this.outputShape[r-1],l=1===r?"source":"vec2("+u.slice(-2).join()+")",p=[o+" rc = outputLoc;",s[r-1]+" += 1;\n       if("+c+") {\n      ",1===r?"":"}\n       rc = outputLoc;\n       "+s[r-2]+" += 1;\n       if("+s[r-2]+" < "+this.outputShape[r-2]+") {",1===r?"":"  "+s[r-1]+" += 1;\n         if("+c+") {"],h=1===r?"rc < start || rc >= end":"any(lessThan(rc, start)) || any(greaterThanEqual(rc, end))",d="",f=0,v=1===r?2:4;f<v;f++)d+="\n        "+p[f]+"\n        if ("+h+") {\n          result["+f+"] = float("+n+");\n        } else {\n          "+o+" source = rc - start;\n          result["+f+"] = getChannel(getX("+u.join()+"), "+l+");\n        }\n      ";d+=1===r?"} ":"}}",this.userCode="\n      const "+o+" start = "+o+"("+a+");\n      const "+o+" end = "+o+"("+i+");\n\n      void main() {\n        "+o+" outputLoc = getOutputCoords();\n        vec4 result = vec4(0.);\n        "+d+"\n        setOutput(result);\n      }\n    "},Wi=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,o=t.strideHeight,a=t.strideWidth,i=t.dilationHeight,s=t.dilationWidth,u=t.effectiveFilterHeight,c=t.effectiveFilterWidth,l=t.padInfo.top,p=t.padInfo.left;this.outputShape=t.outShape;var h="avg"===e,d="0.0";if(h||(d="-1.0 / 1e-20"),n)this.userCode="\n        const ivec2 strides = ivec2("+o+", "+a+");\n        const ivec2 pads = ivec2("+l+", "+p+");\n\n        void main() {\n          ivec4 coords = getOutputCoords();\n          int batch = coords[0];\n          int d = coords[3];\n\n          ivec2 xRCCorner = coords.yz * strides - pads;\n          int xRCorner = xRCCorner.x;\n          int xCCorner = xRCCorner.y;\n\n          // max/min x(?, ?, d) to get y(yR, yC, d).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n          float avgValue = 0.0;\n\n          for (int wR = 0; wR < "+u+";\n              wR += "+i+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+c+";\n                wC += "+s+") {\n              int xC = xCCorner + wC;\n\n              if (xC < 0 || xC >= "+t.inWidth+") {\n                continue;\n              }\n\n              float value = getX(batch, xR, xC, d);\n\n              // If a min / max value has already been found, use it. If not,\n              // use the current value.\n              float currMinMaxValue = mix(\n                  value, minMaxValue, minMaxValueFound);\n              if (value >= currMinMaxValue) {\n                minMaxValue = value;\n                minMaxValueFound = 1.0;\n                minMaxPosition = wR * "+c+" + wC;\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var f=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(f="avgValue / count");var v=4*Math.floor(r/4),m=r%4,g="\n      if ("+h+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec2 strides = ivec2("+o+", "+a+");\n      const ivec2 pads = ivec2("+l+", "+p+");\n      const float initializationValue = "+d+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xR, int xC, int d) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xR, xC, d);\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int batch = coords[0];\n        int d = coords[3];\n\n        ivec2 xRCCorner = coords.yz * strides - pads;\n        int xRCorner = xRCCorner.x;\n        int xCCorner = xRCCorner.y;\n\n        // max/min x(?, ?, d) to get y(yR, yC, d).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+d+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wR = 0; wR < "+u+";\n            wR += "+i+") {\n          int xR = xRCorner + wR;\n\n          if (xR < 0 || xR >= "+t.inHeight+") {\n            continue;\n          }\n\n          for (int wC = 0; wC < "+v+"; wC += 4) {\n            int xC = xCCorner + wC * "+s+";\n\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              getValue(batch, xR, xC + 3 * "+s+", d)\n            );\n\n            "+g+"\n          }\n\n          int xC = xCCorner + "+v+";\n          if ("+(1===m)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              initializationValue,\n              initializationValue,\n              initializationValue\n            );\n\n            "+g+"\n          } else if ("+(2===m)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              initializationValue,\n              initializationValue\n            );\n\n            "+g+"\n          } else if ("+(3===m)+") {\n            vec4 values = vec4(\n              getValue(batch, xR, xC, d),\n              getValue(batch, xR, xC + "+s+", d),\n              getValue(batch, xR, xC + 2 * "+s+", d),\n              initializationValue\n            );\n\n            "+g+"\n          }\n        }\n        setOutput("+f+");\n      }\n    "}},Ui=function(t,e,n){if(this.variableNames=["x"],"avg"===e&&n)throw new Error("Cannot compute positions for average pool.");var r=t.filterWidth,o=t.strideDepth,a=t.strideHeight,i=t.strideWidth,s=t.dilationDepth,u=t.dilationHeight,c=t.dilationWidth,l=t.effectiveFilterDepth,p=t.effectiveFilterHeight,h=t.effectiveFilterWidth,d=t.padInfo.front,f=t.padInfo.top,v=t.padInfo.left;this.outputShape=t.outShape;var m="avg"===e,g="0.0";if(m||(g="-1.0 / 1e-20"),n)this.userCode="\n        const ivec3 strides =\n            ivec3("+o+", "+a+", "+i+");\n        const ivec3 pads = ivec3("+d+", "+f+", "+v+");\n\n        void main() {\n          ivec5 coords = getOutputCoords();\n          int batch = coords.x;\n          int ch = coords.u;\n\n          ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n          int xDCorner = xCorner.x;\n          int xRCorner = xCorner.y;\n          int xCCorner = xCorner.z;\n\n          // max/min x(?, ?, ?, ch) to get y(yD, yR, yC, ch).\n          // ? = to be determined\n          float minMaxValue = 0.0;\n          float minMaxValueFound = 0.0;\n          int minMaxPosition = 0;\n\n          for (int wD = 0; wD < "+l+";\n              wD += "+s+") {\n            int xD = xDCorner + wD;\n\n            if (xD < 0 || xD >= "+t.inDepth+") {\n              continue;\n            }\n\n            for (int wR = 0; wR < "+p+";\n                wR += "+u+") {\n              int xR = xRCorner + wR;\n\n              if (xR < 0 || xR >= "+t.inHeight+") {\n                continue;\n              }\n\n              for (int wC = 0; wC < "+h+";\n                  wC += "+c+") {\n                int xC = xCCorner + wC;\n\n                if (xC < 0 || xC >= "+t.inWidth+") {\n                  continue;\n                }\n\n                float value = getX(batch, xD, xR, xC, ch);\n\n                // If a min / max value has already been found, use it. If not,\n                // use the current value.\n                float currMinMaxValue = mix(\n                    value, minMaxValue, minMaxValueFound);\n                if (value >= currMinMaxValue) {\n                  minMaxValue = value;\n                  minMaxValueFound = 1.0;\n                  minMaxPosition =\n                      wD * "+p+" * "+h+" +\n                      wR * "+h+" + wC;;\n                }\n              }\n            }\n          }\n          setOutput(float(minMaxPosition));\n        }\n      ";else{var x=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"avg"===e&&(x="avgValue / count");var y=4*Math.floor(r/4),b=r%4,w="\n      if ("+m+") {\n        avgValue += dot(values, ones);\n      } else {\n        minMaxValue = max(values, minMaxValue);\n      }\n    ";this.userCode="\n      const ivec3 strides =\n        ivec3("+o+", "+a+", "+i+");\n      const ivec3 pads = ivec3("+d+", "+f+", "+v+");\n      const float initializationValue = "+g+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float count = 0.0;\n\n      float getValue(int batch, int xD, int xR, int xC, int ch) {\n        if (xC < 0 || xC >= "+t.inWidth+") {\n          return initializationValue;\n        }\n        count += 1.0;\n        return getX(batch, xD, xR, xC, ch);\n      }\n\n      void main() {\n        ivec5 coords = getOutputCoords();\n        int batch = coords.x;\n        int ch = coords.u;\n\n        ivec3 xCorner = ivec3(coords.y, coords.z, coords.w) * strides - pads;\n        int xDCorner = xCorner.x;\n        int xRCorner = xCorner.y;\n        int xCCorner = xCorner.z;\n\n        // max/min x(?, ?, ?, d) to get y(yD, yR, yC, ch).\n        // ? = to be determined\n        vec4 minMaxValue = vec4("+g+");\n        float avgValue = 0.0;\n        count = 0.0;\n\n        for (int wD = 0; wD < "+l+";\n            wD += "+s+") {\n          int xD = xDCorner + wD;\n\n          if (xD < 0 || xD >= "+t.inDepth+") {\n            continue;\n          }\n\n          for (int wR = 0; wR < "+p+";\n            wR += "+u+") {\n            int xR = xRCorner + wR;\n\n            if (xR < 0 || xR >= "+t.inHeight+") {\n              continue;\n            }\n\n            for (int wC = 0; wC < "+y+"; wC += 4) {\n              int xC = xCCorner + wC * "+c+";\n\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+c+", ch),\n                getValue(batch, xD, xR, xC + 3 * "+c+", ch)\n              );\n\n              "+w+"\n            }\n\n            int xC = xCCorner + "+y+";\n            if ("+(1===b)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                initializationValue,\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(2===b)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                initializationValue,\n                initializationValue\n              );\n\n              "+w+"\n            } else if ("+(3===b)+") {\n              vec4 values = vec4(\n                getValue(batch, xD, xR, xC, ch),\n                getValue(batch, xD, xR, xC + "+c+", ch),\n                getValue(batch, xD, xR, xC + 2 * "+c+", ch),\n                initializationValue\n              );\n\n              "+w+"\n            }\n          }\n          setOutput("+x+");\n        }\n      }\n    "}},zi=function(t,e){this.variableNames=["x"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=Math.ceil(o/n);this.outputShape=[r,a];var i="0.0",s="";"prod"===e?i="1.0":"min"===e?(i="1.0 / 1e-20",s="min"):"max"===e&&(i="-1.0 / 1e-20",s="max");var u=e+"("+e+"("+e+"(minMaxValue[0], minMaxValue[1]), minMaxValue[2]), minMaxValue[3])";"sum"===e?u="sumValue":"prod"===e?u="prodValue":"all"===e?u="allValue":"any"===e&&(u="anyValue");var c=4*Math.floor(n/4),l=n%4,p="\n      if ("+("sum"===e)+") {\n        sumValue += dot(values, ones);\n      } else if ("+("prod"===e)+") {\n        vec2 tmp = vec2(values[0], values[1]) * vec2(values[2], values[3]);\n        prodValue *= tmp[0] * tmp[1];\n      } else {\n        minMaxValue = "+s+"(values, minMaxValue);\n      }\n    ",h="vec4";"all"===e?(i="1.0",p="\n        bool reducedAllValue = all(values);\n        float floatedReducedAllValue = float(reducedAllValue);\n        allValue = float(allValue >= 1.0 && floatedReducedAllValue >= 1.0);\n      ",h="bvec4"):"any"===e&&(i="0.0",p="\n        bool reducedAnyValue = any(values);\n        float floatedReducedAnyValue = float(reducedAnyValue);\n        anyValue = float(anyValue >= 1.0 || floatedReducedAnyValue >= 1.0);\n      ",h="bvec4");var d="";o%n>0&&(d="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      "),this.userCode="\n      const float initializationValue = "+i+";\n      const vec4 ones = vec4(1.0, 1.0, 1.0, 1.0);\n\n      float getValue(int batch, int inIdx) {\n        "+d+"\n        return getX(batch, inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = outIdx * "+n+";\n\n        vec4 minMaxValue = vec4("+i+");\n        float prodValue = 1.0;\n        float sumValue = 0.0;\n        float allValue = 1.0;\n        float anyValue = 0.0;\n\n        for (int i = 0; i < "+c+"; i += 4) {\n          int inIdx = inOffset + i;\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          "+p+"\n        }\n\n        int inIdx = inOffset + "+c+";\n        if ("+(1===l)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(2===l)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          "+p+"\n        } else if ("+(3===l)+") {\n          "+h+" values = "+h+"(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          "+p+"\n        }\n        setOutput("+u+");\n      }\n    "},Vi=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t;for(var n="",r=0;r<4;r++){var o="thisRC = rc;";r%2==1&&(o+="thisRC.z += 1;"),r>1&&(o+="thisRC.y += 1;"),n+="\n        "+o+"\n        "+(r>0?"if(thisRC.y < rows && thisRC.z < cols){":"")+"\n          int flatIndex = getFlatIndex(thisRC);\n\n          ivec3 inputRC = inputCoordsFromReshapedOutCoords(flatIndex);\n          vec2 inputRCInnerDims = vec2(float(inputRC.y),float(inputRC.z));\n\n          result["+r+"] =\n            getChannel(getA(inputRC.x, inputRC.y, inputRC.z), inputRCInnerDims);\n        "+(r>0?"}":"")+"\n      "}this.userCode="\n      \n    ivec3 inputCoordsFromReshapedOutCoords(int index) {\n      "+Yo(["r","c","d"],e)+"\n      return ivec3(r, c, d);\n    }\n  \n      "+Qo(t)+"\n\n      void main() {\n        ivec3 rc = getOutputCoords();\n\n        vec4 result = vec4(0.);\n\n        ivec3 thisRC;\n        int rows = "+t[1]+";\n        int cols = "+t[2]+";\n\n        "+n+"\n\n        setOutput(result);\n      }\n    "},Gi=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=c[0]/l[0],h=c[1]/l[1],d=1/p,f=1/h,v=2*Math.ceil(d)+2,m=2*Math.ceil(f)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+d+");\n        const float invWidthScale = float("+f+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+m+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(startRLerp - float(winHeight / 2));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(startCLerp - float(winWidth / 2));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float dxR = float(dyR) * heightScale;\n            int topDxRIndex = int(floor(dxR));\n            int bottomDxRIndex = int(min(ceil(dxR), "+(o-1)+".0));\n            float dxRLerp = dxR - float(topDxRIndex);\n            float inverseDxRLerp = 1.0 - dxRLerp;\n\n            float dxC = float(dyC) * widthScale;\n            int leftDxCIndex = int(floor(dxC));\n            int rightDxCIndex = int(min(ceil(dxC), "+(a-1)+".0));\n            float dxCLerp = dxC - float(leftDxCIndex);\n            float inverseDxCLerp = 1.0 - dxCLerp;\n\n            if (r == topDxRIndex && c == leftDxCIndex) {\n              // topLeft\n              accumulator +=\n                getDy(b, dyR, dyC, d) * inverseDxRLerp * inverseDxCLerp;\n            }\n\n            if (r == topDxRIndex && c == rightDxCIndex) {\n              // topRight\n              accumulator += getDy(b, dyR, dyC, d) * inverseDxRLerp * dxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == leftDxCIndex) {\n              // bottomLeft\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * inverseDxCLerp;\n            }\n\n            if (r == bottomDxRIndex && c == rightDxCIndex) {\n              // bottomRight\n              accumulator += getDy(b, dyR, dyC, d) * dxRLerp * dxCLerp;\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},Hi=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec2 sourceFloorRC = ivec2(sourceFracIndexRC);\n        ivec2 sourceCeilRC = ivec2(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        float topLeft = getA(b, sourceFloorRC.x, sourceFloorRC.y, d);\n        float bottomLeft = getA(b, sourceCeilRC.x, sourceFloorRC.y, d);\n        float topRight = getA(b, sourceFloorRC.x, sourceCeilRC.y, d);\n        float bottomRight = getA(b, sourceCeilRC.x, sourceCeilRC.y, d);\n\n        vec2 fracRC = sourceFracIndexRC - vec2(sourceFloorRC);\n\n        float top = topLeft + (topRight - topLeft) * fracRC.y;\n        float bottom = bottomLeft + (bottomRight - bottomLeft) * fracRC.y;\n        float newValue = top + (bottom - top) * fracRC.x;\n\n        setOutput(newValue);\n      }\n    "},qi=function(t,e,n,r){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n];this.userCode="\n      const vec3 effectiveInputOverOutputRatioRC = vec3(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+",\n          "+u[1]/c[1]+");\n      const vec3 inputShapeRC = vec3("+a+".0, "+i+".0,\n                                     "+i+".0);\n\n      float getAValue(int b, int r, int c, int d) {\n        return getChannel(getA(b, r, c, d), vec2(c, d));\n      }\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        // Calculate values for next column in yRC.z.\n        ivec3 yRC = coords.yzz + ivec3(0, 0, 1);\n\n        // Fractional source index.\n        vec3 sourceFracIndexRC = vec3(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the four integer indices.\n        ivec3 sourceFloorRC = ivec3(sourceFracIndexRC);\n        ivec3 sourceCeilRC = ivec3(\n          min(inputShapeRC - 1.0, ceil(sourceFracIndexRC)));\n\n        // Should we calculate next column and row elements in 2x2 packed cell.\n        bool hasNextCol = d < "+(s-1)+";\n        bool hasNextRow = coords.z < "+(n-1)+";\n\n        // In parallel, construct four corners for all four components in\n        // packed 2x2 cell.\n        vec4 topLeft = vec4(\n          getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 bottomLeft = vec4(\n          getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceFloorRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceFloorRC.z, d + 1) : 0.0);\n\n        vec4 topRight = vec4(\n          getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceFloorRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceFloorRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec4 bottomRight = vec4(\n          getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d),\n          hasNextCol ? getAValue(b, sourceCeilRC.x, sourceCeilRC.y, d + 1)\n                     : 0.0,\n          hasNextRow ? getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d)\n                     : 0.0,\n          (hasNextRow && hasNextCol) ?\n            getAValue(b, sourceCeilRC.x, sourceCeilRC.z, d + 1) : 0.0);\n\n        vec3 fracRC = sourceFracIndexRC - vec3(sourceFloorRC);\n\n        vec4 top = mix(topLeft, topRight, fracRC.yyzz);\n        vec4 bottom = mix(bottomLeft, bottomRight, fracRC.yyzz);\n        vec4 newValue = mix(top, bottom, fracRC.x);\n\n        setOutput(newValue);\n      }\n    "},Ki=function(t,e,n){this.variableNames=["dy"],this.outputShape=[],this.outputShape=e.shape;var r=e.shape,o=r[1],a=r[2],i=t.shape,s=i[1],u=i[2],c=[n&&s>1?o-1:o,n&&u>1?a-1:a],l=[n&&s>1?s-1:s,n&&u>1?u-1:u],p=c[0]/l[0],h=c[1]/l[1],d=1/p,f=1/h,v=2*Math.ceil(d)+2,m=2*Math.ceil(f)+2;this.userCode="\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        int r = coords[1];\n        int c = coords[2];\n\n        float accumulator = 0.0;\n\n        const float heightScale = float("+p+");\n        const float widthScale = float("+h+");\n\n        const float invHeightScale = float("+d+");\n        const float invWidthScale = float("+f+");\n\n        const int winHeight = int("+v+");\n        const int winWidth = int("+m+");\n\n        // Compute bounds for where in dy we will look\n        float startRLerp = floor(float(r) * invHeightScale);\n        int startDyR = int(floor(startRLerp - float(winHeight / 2)));\n\n        float startCLerp = floor(float(c) * invWidthScale);\n        int startDyC = int(floor(startCLerp - float(winWidth / 2)));\n\n        // Loop over dy\n        for (int dyROffset = 0; dyROffset < winHeight; dyROffset++) {\n          int dyR = dyROffset + startDyR;\n\n          // Guard against the window exceeding the bounds of dy\n          if (dyR < 0 || dyR >= "+s+") {\n            continue;\n          }\n\n          for (int dyCOffset = 0; dyCOffset < winWidth; dyCOffset++) {\n            int dyC = dyCOffset + startDyC;\n\n            // Guard against the window exceeding the bounds of dy\n            if (dyC < 0 || dyC >= "+u+") {\n              continue;\n            }\n\n            float sourceFracRow =\n              float("+c[0]+") *\n                (float(dyR) / float("+l[0]+"));\n\n            float sourceFracCol =\n                float("+c[1]+") *\n                  (float(dyC) / float("+l[1]+"));\n\n            int sourceNearestRow = int(min(\n                float(int("+o+") - 1),\n                "+n+" ? float(round(sourceFracRow)) :\n                                  float(floor(sourceFracRow))));\n\n            int sourceNearestCol = int(min(\n                float(int("+a+") - 1),\n                "+n+" ? float(round(sourceFracCol)) :\n                                  float(floor(sourceFracCol))));\n\n            if (r == sourceNearestRow && c == sourceNearestCol) {\n              accumulator += getDy(b, dyR, dyC, d);\n            }\n          }\n        }\n        // End loop over dy\n\n        setOutput(accumulator);\n      }\n    "},ji=function(t,e,n,r){this.variableNames=["A"],this.outputShape=[];var o=t[0],a=t[1],i=t[2],s=t[3];this.outputShape=[o,e,n,s];var u=[r&&e>1?a-1:a,r&&n>1?i-1:i],c=[r&&e>1?e-1:e,r&&n>1?n-1:n],l=r?"0.5":"0.0";this.userCode="\n      const vec2 effectiveInputOverOutputRatioRC = vec2(\n          "+u[0]/c[0]+",\n          "+u[1]/c[1]+");\n      const vec2 inputShapeRC = vec2("+a+".0, "+i+".0);\n\n      void main() {\n        ivec4 coords = getOutputCoords();\n        int b = coords[0];\n        int d = coords[3];\n        ivec2 yRC = coords.yz;\n\n        // Fractional source index.\n        vec2 sourceFracIndexRC = vec2(yRC) * effectiveInputOverOutputRatioRC;\n\n        // Compute the coordinators of nearest neighbor point.\n        ivec2 sourceNearestRC = ivec2(\n          min(inputShapeRC - 1.0, floor(sourceFracIndexRC + "+l+")));\n\n        float newValue = getA(b, sourceNearestRC.x, sourceNearestRC.y, d);\n\n        setOutput(newValue);\n      }\n    "},Xi=function(t,e){this.variableNames=["x"];var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");if(this.outputShape=t,1!==n){var r=t.map(function(n,r){return function(n){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - coords["+n+"] - 1":"coords["+n+"]"}(r)}).join(","),o=ua(n);this.userCode="\n      void main() {\n        "+o+" coords = getOutputCoords();\n        setOutput(getX("+r+"));\n      }\n    "}else this.userCode="\n        void main() {\n          int coord = getOutputCoords();\n          setOutput(getX("+t[0]+" - coord - 1));\n        }\n      "},$i=function(t,e){this.variableNames=["x"],this.packedInputs=!0,this.packedOutput=!0;var n=t.length;if(n>4)throw new Error("WebGL backend: Reverse of rank-"+n+" tensor is not yet supported");this.outputShape=t;var r=Xo("rc",n),o=r[n-1]+" + 1 < "+this.outputShape[n-1],a=r[n-2]+" + 1 < "+this.outputShape[n-2],i=ua(n);function s(n){var r=t.map(function(r,o){return function(n,r){return-1!==e.indexOf(n)&&1!==t[n]?t[n]+" - "+r[n]+" - 1":""+r[n]}(o,n)});return"getChannel(getX("+r.join(",")+"), vec2("+r.slice(-2).join(",")+"))"}this.userCode=1===n?"\n        void main(){\n          int rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = getChannel(getX("+t[0]+" - rc - 1),\n            "+t[0]+" - rc - 1);\n          if("+o+"){\n              result.g = getChannel(getX("+t[0]+" - (rc  + 1) - 1),\n                "+t[0]+" - (rc  + 1) - 1);\n          }\n          setOutput(result);\n        }\n      ":"\n        void main() {\n          "+i+" rc = getOutputCoords();\n          vec4 result = vec4(0.);\n          result.r = "+s(r.slice())+";\n          if("+o+"){\n            result.g = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",s(t)}(r.slice())+";\n          }\n          if("+a+") {\n            result.b = "+function(t){return t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            if("+o+") {\n              result.a = "+function(t){return t[n-1]="("+t[n-1]+" + 1)",t[n-2]="("+t[n-2]+" + 1)",s(t)}(r.slice())+";\n            }\n          }\n          setOutput(result);\n        }\n    "},Yi=function(t,e,n,r,o,a,i){void 0===i&&(i=!0),this.variableNames=["updates","indices","defaultValue"],this.outputShape=a;var s=ua(o.length),u=ua(a.length),c="";1===n?c="i":2===n&&(c="i, j");var l="getIndices("+c+")",p="";1===r?p="i":2===r&&(p="i, coords[1]");var h="getUpdates("+p+")",d=e>1?"strides[j]":"strides";this.userCode="\n        "+s+" strides = "+s+"("+o+");\n\n        void main() {\n          "+u+" coords = getOutputCoords();\n          float sum = 0.0;\n          bool found = false;\n          for (int i = 0; i < "+t+"; i++) {\n            int flattenedIndex = 0;\n            for (int j = 0; j < "+e+"; j++) {\n              int index = round("+l+");\n              flattenedIndex += index * "+d+";\n            }\n            if (flattenedIndex == coords[0]) {\n              sum += "+h+";\n              found = true;\n            }\n          }\n          setOutput(mix(getDefaultValue(), sum, float(found)));\n        }\n      "},Qi=function(t,e){this.variableNames=["x","segmentIds"];var n=t.windowSize,r=t.batchSize,o=t.inSize,a=t.numSegments,i=a*Math.ceil(o/n);this.outputShape=[r,i];var s=4*Math.floor(n/4),u=n%4,c="\n        sumValue += dot(values, segFilter);\n    ",l="";o%n>0&&(l="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return initializationValue;\n        }\n      ");var p="";o%n>0&&(p="\n        if (inIdx < 0 || inIdx >= "+o+") {\n          return -1.0;\n        }\n      "),this.userCode="\n      const float initializationValue = 0.0;\n\n      float getValue(int batch, int inIdx) {\n        "+l+"\n        return getX(batch, inIdx);\n      }\n\n      float getSegmentIdAtIndex(int inIdx) {\n        "+p+"\n        return getSegmentIds(inIdx);\n      }\n\n      void main() {\n        ivec2 coords = getOutputCoords();\n        int batch = coords[0];\n        int outIdx = coords[1];\n        int inOffset = int(floor(float(outIdx) / float(\n          "+a+")) * float("+n+"));\n        int currentSeg = int(mod(float(outIdx), float("+a+")));\n\n        float sumValue = 0.0;\n\n        for (int i = 0; i < "+s+"; i += 4) {\n          int inIdx = inOffset + i;\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            getValue(batch, inIdx + 3)\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 3)) == currentSeg ? 1 : 0\n          );\n\n          "+c+"\n        }\n\n        int inIdx = inOffset + "+s+";\n        if ("+(1===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            initializationValue,\n            initializationValue,\n            initializationValue\n          );\n\n          int inIdxSeg = int(getSegmentIdAtIndex(inIdx));\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            0,\n            0,\n            0\n          );\n\n          "+c+"\n        } else if ("+(2===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            initializationValue,\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n              0,\n              0\n          );\n\n          "+c+"\n        } else if ("+(3===u)+") {\n          vec4 values = vec4(\n            getValue(batch, inIdx),\n            getValue(batch, inIdx + 1),\n            getValue(batch, inIdx + 2),\n            initializationValue\n          );\n\n          vec4 segFilter = vec4(\n            int(getSegmentIdAtIndex(inIdx)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 1)) == currentSeg ? 1 : 0,\n            int(getSegmentIdAtIndex(inIdx + 2)) == currentSeg ? 1 : 0,\n            0\n          );\n\n          "+c+"\n        }\n        setOutput(sumValue);\n      }\n    "},Ji=function(t,e,n){var r,o;if(this.variableNames=["c","a","b"],this.outputShape=e,n>4)throw Error("Where for rank "+n+" is not yet supported");if(1===n)o="resRC",r="resRC";else{for(var a=["resRC.x","resRC.y","resRC.z","resRC.w"],i=[],s=[],u=0;u<e.length;u++)s.push(""+a[u]),u<t&&i.push(""+a[u]);r=i.join(),o=s.join()}var c=ua(n);this.userCode="\n      void main() {\n        "+c+" resRC = getOutputCoords();\n        float cVal = getC("+r+");\n        if (cVal >= 1.0) {\n          setOutput(getA("+o+"));\n        } else {\n          setOutput(getB("+o+"));\n        }\n      }\n    "},Zi=function(){function t(t){this.variableNames=["source"],this.outputShape=t,this.rank=t.length;var e,n=ua(this.rank),r="uniform int start["+this.rank+"];",o=function(t){if(1===t)return"sourceLoc";if(t<=6)return ts.slice(0,t).map(function(t){return"sourceLoc."+t}).join(",");throw Error("Slicing for rank "+t+" is not yet supported")}(this.rank);e="\n        "+n+" sourceLoc;\n        "+n+" coords = getOutputCoords();\n        "+t.map(function(t,e){return"sourceLoc."+ts[e]+" = start["+e+"] + coords."+ts[e]+";"}).join("\n")+"\n      ",this.userCode="\n      "+r+"\n      void main() {\n        "+e+"\n        setOutput(getSource("+o+"));\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),ts=["x","y","z","w","u","v"],es=function(){function t(t){this.variableNames=["source"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.rank=t.length;var e=ua(this.rank),n=Xo("coords",this.rank),r=Xo("sourceLoc",this.rank),o=1===this.rank?"sourceLoc":"vec2("+r.slice(-2).join()+")",a="getChannel(getSource("+r.join()+"), "+o+")",i="\n      result.x = "+a+";\n      if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n        ++"+r[this.rank-1]+";\n        result.y = "+a+";\n        --"+r[this.rank-1]+";\n      }\n    ",s=1===this.rank?"":"\n      --"+n[this.rank-1]+";\n      if (++"+n[this.rank-2]+" < "+t[this.rank-2]+") {\n        ++"+r[this.rank-2]+";\n        result.z = "+a+";\n        if (++"+n[this.rank-1]+" < "+t[this.rank-1]+") {\n          ++"+r[this.rank-1]+";\n          result.w = "+a+";\n        }\n      }\n    ",u=this.rank<=4?"sourceLoc = coords +\n            "+e+"("+t.map(function(t,e){return"start["+e+"]"}).join()+");":t.map(function(t,e){return r[e]+" = "+n[e]+" + start["+e+"];"}).join("\n");this.userCode="\n      uniform int start["+this.rank+"];\n      void main() {\n        "+e+" coords = getOutputCoords();\n        "+e+" sourceLoc;\n        "+u+"\n        vec4 result = vec4(0.);\n        "+i+"\n        "+s+"\n        setOutput(result);\n      }\n    "}return t.prototype.getCustomSetupFunc=function(t){var e=this;if(t.length!==this.rank)throw Error("The rank ("+this.rank+") of the program must match the length of start ("+t.length+")");return function(n,r){null==e.startLoc&&(e.startLoc=n.getUniformLocationNoThrow(r,"start"),null==e.startLoc)||n.gl.uniform1iv(e.startLoc,t)}},t}(),ns=function(t,e,n){this.variableNames=["x"],this.outputShape=n;var r=n.length,o=ua(n.length),a=ua(n.length),i="";if(1===r)i="coords * strides + begin";else{var s=0;i=n.map(function(t,e){return s++,1===n.length?"coords * strides["+e+"] + begin["+e+"]":"coords["+(s-1)+"] * strides["+e+"] + begin["+e+"]"}).join(",")}this.userCode="\n      "+o+" begin = "+o+"("+t+");\n      "+o+" strides = "+o+"("+e+");\n\n      void main() {\n        "+a+" coords = getOutputCoords();\n        setOutput(getX("+i+"));\n      }\n    "},rs=function(){function t(t){this.gpgpu=t,this.numUsedTextures=0,this.numFreeTextures=0,this.freeTextures={},this.logEnabled=!1,this.usedTextures={}}return t.prototype.acquireTexture=function(t,e,n){var r,o=os(e,n),a=as(t,o,n);if(a in this.freeTextures||(this.freeTextures[a]=[]),a in this.usedTextures||(this.usedTextures[a]=[]),this.freeTextures[a].length>0){this.numFreeTextures--,this.numUsedTextures++,this.log();var i=this.freeTextures[a].shift();return this.usedTextures[a].push(i),i}return this.numUsedTextures++,this.log(),o===Wt.PACKED_2X2_FLOAT32?r=this.gpgpu.createPackedMatrixTexture(t[0],t[1]):o===Wt.PACKED_2X2_FLOAT16?r=this.gpgpu.createFloat16PackedMatrixTexture(t[0],t[1]):o===Wt.UNPACKED_FLOAT32?r=this.gpgpu.createFloat32MatrixTexture(t[0],t[1]):o===Wt.UNPACKED_FLOAT16?r=this.gpgpu.createFloat16MatrixTexture(t[0],t[1]):o===Wt.PACKED_4X1_UNSIGNED_BYTE&&(r=this.gpgpu.createUnsignedBytesMatrixTexture(t[0],t[1])),this.usedTextures[a].push(r),r},t.prototype.releaseTexture=function(t,e,n,r){if(null!=this.freeTextures){var o=as(e,os(n,r),r);o in this.freeTextures||(this.freeTextures[o]=[]),this.freeTextures[o].push(t),this.numFreeTextures++,this.numUsedTextures--;var a=this.usedTextures[o],i=a.indexOf(t);if(i<0)throw new Error("Cannot release a texture that was never provided by this texture manager");a.splice(i,1),this.log()}},t.prototype.log=function(){if(this.logEnabled){var t=this.numFreeTextures+this.numUsedTextures;console.log("Free/Used",this.numFreeTextures+" / "+this.numUsedTextures,"("+t+")")}},t.prototype.getNumUsedTextures=function(){return this.numUsedTextures},t.prototype.getNumFreeTextures=function(){return this.numFreeTextures},t.prototype.dispose=function(){var t=this;if(null!=this.freeTextures){for(var e in this.freeTextures)this.freeTextures[e].forEach(function(e){t.gpgpu.deleteMatrixTexture(e)});for(var e in this.usedTextures)this.usedTextures[e].forEach(function(e){t.gpgpu.deleteMatrixTexture(e)});this.freeTextures=null,this.usedTextures=null,this.numUsedTextures=0,this.numFreeTextures=0}},t}();function os(t,e){if(t===Lt.UPLOAD)return Wt.PACKED_2X2_FLOAT32;if(t===Lt.RENDER||null==t)return function(t){return u().getBool("WEBGL_RENDER_FLOAT32_ENABLED")?t?Wt.PACKED_2X2_FLOAT32:Wt.UNPACKED_FLOAT32:t?Wt.PACKED_2X2_FLOAT16:Wt.UNPACKED_FLOAT16}(e);if(t===Lt.DOWNLOAD||t===Lt.PIXELS)return Wt.PACKED_4X1_UNSIGNED_BYTE;throw new Error("Unknown logical texture type "+t)}function as(t,e,n){return t[0]+"_"+t[1]+"_"+e+"_"+n}var is=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[r]*e[r];this.outputShape=n,this.rank=n.length;var o=ua(this.rank),a=function(t){var e=t.length;if(e>5)throw Error("Tile for rank "+e+" is not yet supported");if(1===e)return"imod(resRC, "+t[0]+")";for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u"],r=[],o=0;o<t.length;o++)r.push("imod("+n[o]+", "+t[o]+")");return r.join()}(t);this.userCode="\n      void main() {\n        "+o+" resRC = getOutputCoords();\n        setOutput(getA("+a+"));\n      }\n    "},ss=function(t,e){this.variableNames=["A"];for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];this.outputShape=n,this.rank=n.length;var o=ua(this.rank),a=function(t){var e=t.length;if(e>6)throw Error("Transpose for rank "+e+" is not yet supported");for(var n=["resRC.x","resRC.y","resRC.z","resRC.w","resRC.u","resRC.v"],r=new Array(e),o=0;o<t.length;o++)r[t[o]]=n[o];return r.join()}(e);this.userCode="\n    void main() {\n      "+o+" resRC = getOutputCoords();\n      setOutput(getA("+a+"));\n    }\n    "},us=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0;for(var n=new Array(t.length),r=0;r<n.length;r++)n[r]=t[e[r]];if(this.outputShape=n,this.rank=n.length,this.rank>6)throw Error("Packed transpose for rank "+this.rank+" is not yet supported.");var o=ua(this.rank),a=jo("rc",this.rank),i=new Array(this.rank);for(r=0;r<e.length;r++)i[e[r]]=a[r];var s="vec2("+i.slice(-2).join()+")",u="++"+a[this.rank-1]+" < "+n[this.rank-1],c="getChannel(getA("+i.join()+"), "+s+")";this.userCode="\n    void main() {\n      "+o+" rc = getOutputCoords();\n      vec4 result = vec4(0.);\n      result[0] = "+c+";\n      if("+u+") {\n        result[1] = "+c+";\n      }\n      --"+a[this.rank-1]+";\n      if(++"+a[this.rank-2]+" < "+n[this.rank-2]+") {\n        result[2] = "+c+";\n        if("+u+") {\n          result[3] = "+c+";\n        }\n      }\n      setOutput(result);\n    }\n    "},cs=1.7580993408473768,ls=1.0507009873554805,ps=function(t,e){this.variableNames=["A"],this.outputShape=t,this.userCode="\n      float unaryOperation(float x) {\n        "+e+"\n      }\n\n      void main() {\n        float x = getAAtOutCoords();\n        float y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},hs="if (isnan(x)) return x;",ds="return x;",fs="return abs(x);",vs=hs+"\n  return (x < 0.0) ? 0.0 : x;\n",ms=hs+"\n  return (x < 0.0) ? 0.0 : min(6.0, x);\n",gs="return (x >= 0.0) ? x : (exp(x) - 1.0);",xs="\n  // Stable and Attracting Fixed Point (0, 1) for Normalized Weights.\n  // see: https://arxiv.org/abs/1706.02515\n  float scaleAlpha = "+cs+";\n  float scale = "+ls+";\n  return (x >= 0.0) ? scale * x : scaleAlpha * (exp(x) - 1.0);\n",ys="return -x;",bs="return ceil(x);",ws="return floor(x);",Cs="return exp(x);",Es="return exp(x) - 1.0;",Rs=hs+"\n  return sin(x);\n",Is=hs+"\n  return cos(x);\n",ks=hs+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return asin(x);\n",Ss=hs+"\n  if (abs(x) > 1.) {\n    return NAN;\n  }\n  return acos(x);\n",As=hs+"\n  return atan(x);\n",Ds=hs+"return log(x + sqrt(x * x + 1.0));",Ts=hs+"\n  if (x < 1.0) return NAN;\n  return log(x + sqrt(x * x - 1.0));",Ns=hs+"\n  if ((x < -1.0) || (x > 1.0)) return NAN;\n  return (log(1.0 + x) - log(1.0 - x)) / 2.0;",Fs="return x;",Os="return x;",_s="\n  vec4 result = x * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",Ms="\n  vec4 result = min(x, vec4(6.)) * vec4(greaterThanEqual(x, vec4(0.0)));\n  bvec4 isNaN = isnan(x);\n\n  result.r = isNaN.r ? x.r : result.r;\n  result.g = isNaN.g ? x.g : result.g;\n  result.b = isNaN.b ? x.b : result.b;\n  result.a = isNaN.a ? x.a : result.a;\n\n  return result;\n",Bs="\n  vec4 result;\n\n  result.r = (x.r >= 0.0) ? x.r : (exp(x.r) - 1.0);\n  result.g = (x.g >= 0.0) ? x.g : (exp(x.g) - 1.0);\n  result.b = (x.b >= 0.0) ? x.b : (exp(x.b) - 1.0);\n  result.a = (x.a >= 0.0) ? x.a : (exp(x.a) - 1.0);\n\n  return result;\n",Ps=function(t,e){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!0,this.outputShape=t,this.userCode="\n      vec4 unaryOperation(vec4 x) {\n        "+e+"\n      }\n\n      void main() {\n        vec4 x = getAAtOutCoords();\n        vec4 y = unaryOperation(x);\n\n        setOutput(y);\n      }\n    "},Ls=function(t){this.variableNames=["A"],this.packedInputs=!0,this.packedOutput=!1,this.outputShape=t;var e=t.length,n=Xo("rc",e),r=ua(e),o=function(t,e){if(1===t)return"rc";for(var n="",r=0;r<t;r++)n+=e[r],r<t-1&&(n+=",");return n}(e,n),a=n.slice(-2),i=e<=1?"rc":"vec2("+a.join(",")+")";this.userCode="\n      void main() {\n        "+r+" rc = getOutputCoords();\n        vec4 packedInput = getA("+o+");\n\n        setOutput(getChannel(packedInput, "+i+"));\n      }\n    "},Ws={};function Us(t,e){if(void 0===e&&(e=!1),"linear"===t)return e?Os:ds;if("relu"===t)return e?_s:vs;if("elu"===t)return e?Bs:gs;if("relu6"===t)return e?Ms:ms;if("prelu"===t)return e?Ra:Ca;throw new Error("Activation "+t+" has not been implemented for the WebGL backend.")}var zs=600,Vs=function(t){function e(e){var n,r=t.call(this)||this;if(r.gpgpu=e,r.pendingRead=new WeakMap,r.pendingDisposal=new WeakSet,r.dataRefCount=new WeakMap,r.numBytesInGPU=0,r.uploadWaitMs=0,r.downloadWaitMs=0,r.warnedAboutMemory=!1,r.pendingDeletes=0,r.disposed=!1,!u().getBool("HAS_WEBGL"))throw new Error("WebGL is not supported on this device");if(null==e){var o=Gt(u().getNumber("WEBGL_VERSION"));r.binaryCache=(n=u().getNumber("WEBGL_VERSION"))in Ws?Ws[n]:(Ws[n]={},Ws[n]),r.gpgpu=new Ii(o),r.canvas=o.canvas,r.gpgpuCreatedLocally=!0}else r.binaryCache={},r.gpgpuCreatedLocally=!1,r.canvas=e.gl.canvas;return r.textureManager=new rs(r.gpgpu),r.numMBBeforeWarning=null==u().global.screen?1024:u().global.screen.height*u().global.screen.width*window.devicePixelRatio*zs/1024/1024,r.texData=new po(r,_t),r}return o(e,t),e.prototype.numDataIds=function(){return this.texData.numDataIds()+(this.cpuBackend?this.cpuBackend.numDataIds():0)-this.pendingDeletes},e.prototype.fromPixels=function(t,e){if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n="undefined"!=typeof OffscreenCanvas&&t instanceof OffscreenCanvas||"undefined"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement,r=t.data instanceof Uint8Array,o="undefined"!=typeof ImageData&&t instanceof ImageData,a="undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement,i="undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement,s=a?[t.videoWidth,t.videoHeight]:[t.width,t.height],c=s[0],l=s[1],p=[l,c],h=[l,c,e];if(!(n||r||o||a||i))throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData in browser, or OffscreenCanvas, ImageData in webworker or {data: Uint32Array, width: number, height: number}, but was "+t.constructor.name);(i||a)&&(null==this.fromPixels2DContext&&(this.fromPixels2DContext=Ht(u().getNumber("WEBGL_VERSION")).getContext("2d")),this.fromPixels2DContext.canvas.width=c,this.fromPixels2DContext.canvas.height=l,this.fromPixels2DContext.drawImage(t,0,0,c,l),t=this.fromPixels2DContext.canvas);var d,f,v=this.makeTensorInfo(p,"int32");return this.texData.get(v.dataId).usage=Lt.PIXELS,this.gpgpu.uploadPixelDataToTexture(this.getTexture(v.dataId),t),u().getBool("WEBGL_PACK")?(d=new oi(h),f=this.compileAndRun(d,[v])):(d=new ri(h),f=this.compileAndRun(d,[v])),this.disposeData(v.dataId),f},e.prototype.write=function(t,e,n){if(u().getBool("DEBUG")&&this.checkNumericalProblems(t),"complex64"===n&&null!=t)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");var r={};return this.texData.set(r,{shape:e,dtype:n,values:t,usage:Lt.UPLOAD}),r},e.prototype.move=function(t,e,n,r){if(u().getBool("DEBUG")&&this.checkNumericalProblems(e),"complex64"===r)throw new Error("Cannot write to a complex64 dtype. Please use tf.complex(real, imag).");this.texData.set(t,{shape:n,dtype:r,values:e,usage:Lt.UPLOAD})},e.prototype.readSync=function(t){var e=this.texData.get(t),n=e.values,r=e.dtype,o=e.complexTensors,a=e.slice,i=e.shape,s=e.isPacked;if(null!=a){var u;u=s?new Ps(i,Fs):new ps(i,Fs);var c=this.runWebGLProgram(u,[{dataId:t,shape:i,dtype:r}],r),l=this.readSync(c.dataId);return this.disposeData(c.dataId),l}if(null!=n)return this.convertAndCacheOnCPU(t);if("string"===r)return n;var p,h,d=null!=this.activeTimers;return d&&(p=Z()),h="complex64"===r?_o(o.real.dataSync(),o.imag.dataSync()):this.getValuesFromTexture(t),d&&(this.downloadWaitMs+=Z()-p),this.convertAndCacheOnCPU(t,h)},e.prototype.read=function(t){return a(this,void 0,void 0,function(){var e,n,r,o,a,s,c,l,p,h,d,f,v,m,g,x,y,b,w,C,E,I;return i(this,function(i){switch(i.label){case 0:if(this.pendingRead.has(t))return e=this.pendingRead.get(t),[2,new Promise(function(t){return e.push(t)})];if(n=this.texData.get(t),r=n.values,o=n.shape,a=n.slice,s=n.dtype,c=n.complexTensors,l=n.isPacked,null!=a)return void 0,p=l?new Ps(o,Fs):new ps(o,Fs),h=this.runWebGLProgram(p,[{dataId:t,shape:o,dtype:s}],s),d=this.read(h.dataId),this.disposeData(h.dataId),[2,d];if(null!=r)return[2,this.convertAndCacheOnCPU(t)];if(!u().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")&&2===u().getNumber("WEBGL_VERSION"))throw new Error("tensor.data() with WEBGL_DOWNLOAD_FLOAT_ENABLED=false and WEBGL_VERSION=2 not yet supported.");return f=null,"complex64"!==s&&u().get("WEBGL_BUFFER_SUPPORTED")&&(v=this.decode(t),m=this.texData.get(v.dataId),f=(I=this.gpgpu).createBufferFromTexture.apply(I,[m.texture].concat(Kt(o)))),this.pendingRead.set(t,[]),"complex64"===s?[3,2]:[4,this.gpgpu.createAndWaitForFence()];case 1:i.sent(),i.label=2;case 2:return"complex64"!==s?[3,4]:[4,Promise.all([c.real.data(),c.imag.data()])];case 3:return x=i.sent(),y=x[0],b=x[1],g=_o(y,b),[3,5];case 4:null==f?g=this.getValuesFromTexture(t):(w=R(o),g=this.gpgpu.downloadFloat32MatrixFromBuffer(f,w)),i.label=5;case 5:return null!=v&&this.disposeData(v.dataId),C=this.convertAndCacheOnCPU(t,g),E=this.pendingRead.get(t),this.pendingRead.delete(t),E.forEach(function(t){return t(C)}),this.pendingDisposal.has(t)&&(this.pendingDisposal.delete(t),this.disposeData(t),this.pendingDeletes--),[2,C]}})})},e.prototype.checkNumericalProblems=function(t){if(null!=t)for(var e=0;e<t.length;e++){var n=t[e];if(!Jt(n)){if(u().getBool("WEBGL_RENDER_FLOAT32_CAPABLE"))throw Error("The value "+n+" cannot be represented with your current settings. Consider enabling float32 rendering: 'tf.env().set('WEBGL_RENDER_FLOAT32_ENABLED', true);'");throw Error("The value "+n+" cannot be represented on this device.")}}},e.prototype.getValuesFromTexture=function(t){var e,n=this.texData.get(t),r=n.shape,o=n.dtype,a=n.isPacked,i=R(r);if(u().getBool("WEBGL_DOWNLOAD_FLOAT_ENABLED")){var s=this.decode(t),c=this.texData.get(s.dataId),l=(e=this.gpgpu).downloadMatrixFromPackedTexture.apply(e,[c.texture].concat(Kt(r))).subarray(0,i);return this.disposeData(s.dataId),l}var p=u().getBool("WEBGL_PACK")&&!0===a,h=p?Se(r):r,d=p?new Ya(h):new $a(h),f=this.runWebGLProgram(d,[{shape:h,dtype:o,dataId:t}],"float32"),v=this.texData.get(f.dataId),m=this.gpgpu.downloadByteEncodedFloatMatrixFromOutputTexture(v.texture,v.texShape[0],v.texShape[1]).subarray(0,i);return this.disposeData(f.dataId),m},e.prototype.time=function(t){return a(this,void 0,void 0,function(){var e,n,r,o,a,s,u;return i(this,function(i){switch(i.label){case 0:return e=this.activeTimers,n=[],r=!1,null==this.programTimersStack?(this.programTimersStack=n,r=!0):this.activeTimers.push(n),this.activeTimers=n,t(),o=E(this.activeTimers.map(function(t){return t.query})).filter(function(t){return null!=t}),a=E(this.activeTimers.map(function(t){return t.name})).filter(function(t){return null!=t}),this.activeTimers=e,r&&(this.programTimersStack=null),[4,Promise.all(o)];case 1:return s=i.sent(),u={uploadWaitMs:this.uploadWaitMs,downloadWaitMs:this.downloadWaitMs,kernelMs:y(s),getExtraProfileInfo:function(){return s.map(function(t,e){return{name:a[e],ms:t}}).map(function(t){return t.name+": "+t.ms}).join(", ")},wallMs:null},this.uploadWaitMs=0,this.downloadWaitMs=0,[2,u]}})})},e.prototype.memory=function(){return{unreliable:!1,numBytesInGPU:this.numBytesInGPU}},e.prototype.startTimer=function(){return u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?this.gpgpu.beginQuery():{startMs:Z(),endMs:null}},e.prototype.endTimer=function(t){return u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?(this.gpgpu.endQuery(),t):(t.endMs=Z(),t)},e.prototype.getQueryTime=function(t){return a(this,void 0,void 0,function(){var e;return i(this,function(n){return u().getNumber("WEBGL_DISJOINT_QUERY_TIMER_EXTENSION_VERSION")>0?[2,this.gpgpu.waitForQueryAndGetTime(t)]:[2,(e=t).endMs-e.startMs]})})},e.prototype.disposeData=function(t){if(!this.pendingDisposal.has(t)){if(this.pendingRead.has(t))return this.pendingDisposal.add(t),void this.pendingDeletes++;if(this.texData.has(t)){this.releaseGPUData(t);var e=this.texData.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.texData.delete(t)}}},e.prototype.releaseGPUData=function(t){var e=this.texData.get(t),n=e.texture,r=e.dtype,o=e.texShape,a=e.usage,i=e.isPacked,s=e.slice,u=s&&s.origDataId||t,c=this.dataRefCount.get(u);c>1?this.dataRefCount.set(u,c-1):(this.dataRefCount.delete(u),null!=n&&(this.numBytesInGPU-=this.computeBytes(o,r),this.textureManager.releaseTexture(n,o,a,i)));var l=this.texData.get(t);l.texture=null,l.texShape=null,l.isPacked=!1,l.slice=null},e.prototype.getTexture=function(t){return this.uploadToGPU(t),this.texData.get(t).texture},e.prototype.getDataInfo=function(t){return this.texData.get(t)},e.prototype.getCPUBackend=function(){return u().getBool("WEBGL_CPU_FORWARD")?(null==this.cpuBackend&&(this.cpuBackend=_t.findBackend("cpu")),this.cpuBackend):null},e.prototype.shouldExecuteOnCPU=function(t,e){var n=this;return void 0===e&&(e=128),null!=this.getCPUBackend()&&t.every(function(t){return null==n.texData.get(t.dataId).texture&&t.size<e})},e.prototype.getGPGPUContext=function(){return this.gpgpu},e.prototype.complex=function(t,e){var n=this.makeOutput(t.shape,"complex64");return this.texData.get(n.dataId).complexTensors={real:_t.keep(t.clone()),imag:_t.keep(e.clone())},n},e.prototype.real=function(t){return this.texData.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.texData.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.slice(t,e,n);if(0===R(n))return Dn([],n,t.dtype);var r=this.texData.get(t.dataId).isPacked,o=Zr(t.shape,e,n);if(r||!o){var a=u().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new es(n):new Zi(n),i=a.getCustomSetupFunc(e);return this.compileAndRun(a,[t],null,i)}return this.uploadToGPU(t.dataId),this.shallowSlice(t,e,n)},e.prototype.shallowSlice=function(t,e,n){var r=this.texData.get(t.dataId),o=this.makeOutput(n,t.dtype),a=this.texData.get(o.dataId);Object.assign(a,r),a.shape=n,a.dtype=t.dtype;var i=to(e,t.strides);r.slice&&(i+=r.slice.flatOffset),a.slice={flatOffset:i,origDataId:r.slice&&r.slice.origDataId||t.dataId};var s=this.dataRefCount.get(a.slice.origDataId)||1;return this.dataRefCount.set(a.slice.origDataId,s+1),o},e.prototype.stridedSlice=function(t,e,n,r){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.stridedSlice(t,e,n,r);var o=Yr(e,n,r);if(o.some(function(t){return 0===t}))return Dn([],o);var a=new ns(e,r,o);return this.compileAndRun(a,[t])},e.prototype.reverse=function(t,e){var n=u().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new $i(t.shape,e):new Xi(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.concat=function(t,e){if("complex64"===t[0].dtype){var n=t.map(function(t){return Sn(t)}),r=t.map(function(t){return An(t)});return kn(this.concat(n,e),this.concat(r,e))}if(this.shouldExecuteOnCPU(t))return this.cpuBackend.concat(t,e);if(1===t.length)return t[0];if(t.length>u().getNumber("WEBGL_MAX_TEXTURES_IN_SHADER")){var o=Math.floor(t.length/2),a=this.concat(t.slice(0,o),e),i=this.concat(t.slice(o),e);return this.concat([a,i],e)}if(u().getBool("WEBGL_PACK_ARRAY_OPERATIONS")&&t[0].rank>1){var s=new Ta(t.map(function(t){return t.shape}),e);return this.compileAndRun(s,t)}var c=Rn(t.map(function(t){return t.shape}),e),l=t.map(function(t){return t.as2D(-1,R(t.shape.slice(e)))}),p=new Da(l.map(function(t){return t.shape}));return this.compileAndRun(p,l).reshape(c)},e.prototype.neg=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.neg(t);if(u().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ys,t.dtype);var e=new ps(t.shape,ys);return this.compileAndRun(e,[t])},e.prototype.batchMatMul=function(t,e,n,r){var o=n?t.shape[2]:t.shape[1],a=r?e.shape[1]:e.shape[2],i=n?t.shape[1]:t.shape[2],s=t.shape[0];if((1===o||1===a)&&i>1e3){n&&(t=t.transpose([0,2,1])),r&&(e=e.transpose([0,2,1]));var u=1===a?t:t.as3D(s,i,1),c=1===a?2:1,l=1===a?e.as3D(s,1,i):e;return this.multiply(u,l).sum(c,!0)}var p=It(t.dtype,e.dtype),h=new Oi(t.shape,[s,o,a],n,r);return this.compileAndRun(h,[t,e],p)},e.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=r?e.shape[2]:e.shape[1],c=o?n.shape[1]:n.shape[2],l=e.shape[0],p=It(e.dtype,n.dtype),h=null!=a,d=null!=s,f=i?Us(i,!0):null,v=new Oi(e.shape,[l,u,c],r,o,h,f,d),m=[e,n];return a&&m.push(a),s&&m.push(s),this.compileAndRun(v,m,p)},e.prototype.multiply=function(t,e){if("complex64"===t.dtype){var n=this.texData.get(t.dataId),r=this.texData.get(e.dataId),o=new xa(ma,t.shape,e.shape),a=new xa(ga,t.shape,e.shape),i=[this.makeComplexComponentTensorInfo(t,n.complexTensors.real),this.makeComplexComponentTensorInfo(t,n.complexTensors.imag),this.makeComplexComponentTensorInfo(e,r.complexTensors.real),this.makeComplexComponentTensorInfo(e,r.complexTensors.imag)],s=this.compileAndRun(o,i),c=this.compileAndRun(a,i),l=this.complex(s,c);return s.dispose(),c.dispose(),l}if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.multiply(t,e);if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,wa,t.dtype);var p=new Ea(wa,t.shape,e.shape);return this.compileAndRun(p,[t,e],t.dtype)},e.prototype.batchNormalization=function(t,e,n,r,o,a){var i=[t,e,n],s=null;null!=a&&(s=a.shape,i.push(a));var c=null;if(null!=o&&(c=o.shape,i.push(o)),u().getBool("WEBGL_PACK_NORMALIZATION")){var l=new va(t.shape,e.shape,n.shape,s,c,r);return this.compileAndRun(l,i)}var p=new fa(t.shape,e.shape,n.shape,s,c,r);return this.compileAndRun(p,i)},e.prototype.localResponseNormalization4D=function(t,e,n,r,o){var a=u().getBool("WEBGL_PACK_NORMALIZATION")?new Ti(t.shape,e,n,r,o):new Ai(t.shape,e,n,r,o);return this.compileAndRun(a,[t])},e.prototype.LRNGrad=function(t,e,n,r,o,a,i){var s=new Di(e.shape,r,o,a,i);return this.compileAndRun(s,[e,n,t])},e.prototype.tile=function(t,e){if("string"===t.dtype){var n=this.readSync(t.dataId).map(function(t){return nt(t)});return zo(lr(t.shape,t.dtype,n),e)}var r=new is(t.shape,e);return this.compileAndRun(r,[t])},e.prototype.pad=function(t,e,n){var r=u().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new Li(t.shape,e,n):new Pi(t.shape,e,n);return this.compileAndRun(r,[t])},e.prototype.transpose=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.transpose(t,e);var n=u().getBool("WEBGL_PACK_ARRAY_OPERATIONS")?new us(t.shape,e):new ss(t.shape,e);return this.compileAndRun(n,[t])},e.prototype.gather=function(t,e,n){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.gather(t,e,n);var r=new ai(t.shape,e.size,n);return this.compileAndRun(r,[t,e])},e.prototype.batchToSpaceND=function(t,e,n){b(t.rank<=4,function(){return"batchToSpaceND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),o=Lr(t.shape,e,r),a=Wr(o.length,e.length),i=Ur(t.shape,e,r),s=zr(n,e.length),u=Vr(i,n,e.length);return t.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){b(t.rank<=4,function(){return"spaceToBatchND for rank > 4 with a WebGL backend not implemented yet"});var r=e.reduce(function(t,e){return t*e}),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=Lr(i.shape,e,r,!1),u=Wr(s.length,e.length,!1),c=Ur(i.shape,e,r,!1);return i.reshape(s).transpose(u).reshape(c)},e.prototype.reduce=function(t,e,n){var r=t.shape[0],o=t.shape[1],a=qr(o),i=new zi({windowSize:a,inSize:o,batchSize:r},e),s=this.compileAndRun(i,[t],n);return 1===s.shape[1]?s:this.reduce(s,e,n)},e.prototype.argReduce=function(t,e,n){void 0===n&&(n=null);var r=t.shape[0],o=t.shape[1];null!=n&&(r=n.shape[0],o=n.shape[1]);var a=qr(o),i=new Ko({windowSize:a,inSize:o,batchSize:r},e,null==n),s=[t];null!=n&&s.push(n);var u=this.compileAndRun(i,s,"int32");return 1===u.shape[1]?u:this.argReduce(t,e,u)},e.prototype.argReducePacked=function(t,e,n){void 0===n&&(n=null);var r=null!=n?n.shape:t.shape,o=qr(r[r.length-1]),a=new pa(r,o,e,null==n),i=null==n?[t]:[t,n],s=this.compileAndRun(a,i,"int32");return s.rank===t.rank?this.argReducePacked(t,e,s):s},e.prototype.sum=function(t,e){yn("sum",e,t.rank);var n=gn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o),i=kt(t.dtype);return this.reduce(a,"sum",i).reshape(r)},e.prototype.prod=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.prod(t,e);var n=gn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o),i=kt(t.dtype);return this.reduce(a,"prod",i).reshape(r)},e.prototype.unsortedSegmentSum=function(t,e,n){var r=0,o=bn([r],t.rank),a=t;null!=o&&(a=t.transpose(o),r=Cn(1,t.rank)[0]);var i=function(t,e,n){for(var r=[],o=t.length,a=0;a<o;a++)a!==e?r.push(t[a]):r.push(n);return r}(a.shape,r,n),s=R([a.shape[r]]),u=a.as2D(-1,s),c=kt(t.dtype),l=this.segOpCompute(u,"unsortedSegmentSum",e,c,n).reshape(i);return null!=o&&(l=l.transpose(wn(o))),l},e.prototype.segOpCompute=function(t,e,n,r,o){var a=t.shape[0],i=t.shape[1],s=function(t,e){var n,r=!1;for(t<=Hr?(n=t,r=!0):n=j(t,Math.floor(Math.sqrt(t)));!r;)n>e||n===t?r=!0:n=j(t,n+1);return n}(i,o),u=new Qi({windowSize:s,inSize:i,batchSize:a,numSegments:o},e),c=this.compileAndRun(u,[t,n],r);return c.shape[1]===o?c:(n=Gn(0,o).tile([i/s]),this.segOpCompute(c,e,n,r,o))},e.prototype.argMinMaxReduce=function(t,e,n){var r=[e];if(yn("arg"+n.charAt(0).toUpperCase()+n.slice(1),r,t.rank),!u().getBool("WEBGL_PACK_REDUCE")||t.rank<=2){var o=gn(t.shape,r),a=o[0],i=R(o[1]),s=t.as2D(-1,i);return this.argReduce(s,n).reshape(a)}return this.argReducePacked(t,n)},e.prototype.argMin=function(t,e){return this.argMinMaxReduce(t,e,"min")},e.prototype.argMax=function(t,e){return this.argMinMaxReduce(t,e,"max")},e.prototype.cumsum=function(t,e,n,r){if(e!==t.rank-1)throw new Error("WebGL cumsum shader expects an inner-most axis="+(t.rank-1)+" but got axis="+e);var o=new Ga(t.shape,n,r);return this.compileAndRun(o,[t])},e.prototype.equal=function(t,e){if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(equal(a, b));\n","bool");var n=new Ea("return float(a == b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.notEqual=function(t,e){if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(notEqual(a, b));\n","bool");var n=new Ea("return float(a != b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.less=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.less(t,e);if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThan(a, b));\n","bool");var n=new Ea("return float(a < b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.lessEqual=function(t,e){if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(lessThanEqual(a, b));\n","bool");var n=new Ea("return float(a <= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greater=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.greater(t,e);if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThan(a, b));\n","bool");var n=new Ea("return float(a > b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.greaterEqual=function(t,e){if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(greaterThanEqual(a, b));\n","bool");var n=new Ea("return float(a >= b);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalNot=function(t){var e=new ps(t.shape,"return float(!(x >= 1.0));");return this.compileAndRun(e,[t])},e.prototype.logicalAnd=function(t,e){if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return vec4(\n    vec4(greaterThanEqual(a, vec4(1.0))) *\n    vec4(greaterThanEqual(b, vec4(1.0))));\n","bool");var n=new Ea("return float(a >= 1.0 && b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.logicalOr=function(t,e){if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  return min(\n    vec4(greaterThanEqual(a, vec4(1.0))) +\n    vec4(greaterThanEqual(b, vec4(1.0))),\n    vec4(1.0));\n","bool");var n=new Ea("return float(a >= 1.0 || b >= 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e],"bool")},e.prototype.select=function(t,e,n){var r=new Ji(t.rank,e.shape,e.rank);return this.compileAndRun(r,[t,e,n],It(e.dtype,n.dtype))},e.prototype.where=function(t){ln("tf.where() in webgl locks the UI thread. Call tf.whereAsync() instead");var e=t.dataSync();return Go(t.shape,e)},e.prototype.topk=function(t,e,n){return Vo(t.dataSync(),t.shape,t.dtype,e)},e.prototype.min=function(t,e){yn("min",e,t.rank);var n=gn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"min",a.dtype).reshape(r)},e.prototype.minimum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.minimum(t,e);var n=u().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ia("\n  vec4 result = vec4(min(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ea("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return min(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.mod=function(t,e){var n=u().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ia("\n  vec4 result = mod(a, b);\n  vec4 isNaN = vec4(equal(b, vec4(0.0)));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ea("if (b == 0.0) return NAN;\n  return mod(a, b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.max=function(t,e){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.max(t,e);yn("max",e,t.rank);var n=gn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"max",a.dtype).reshape(r)},e.prototype.maximum=function(t,e){if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.maximum(t,e);var n=u().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ia("\n  vec4 result = vec4(max(a, b));\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ea("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return max(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.all=function(t,e){yn("all",e,t.rank);var n=gn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"all",a.dtype).reshape(r)},e.prototype.any=function(t,e){yn("any",e,t.rank);var n=gn(t.shape,e),r=n[0],o=R(n[1]),a=t.as2D(-1,o);return this.reduce(a,"any",a.dtype).reshape(r)},e.prototype.squaredDifference=function(t,e){var n=u().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ia("return (a - b) * (a - b);",t.shape,e.shape):new Ea("return (a - b) * (a - b);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.realDivide=function(t,e){if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  // vec4 one = vec4(equal(a, b));\n  // return one + (vec4(1.0) - one) * a / b;\n  vec4 result = a / b;\n  if(a.x == b.x) {\n    result.x = 1.;\n  }\n  if(a.y == b.y) {\n    result.y = 1.;\n  }\n  if(a.z == b.z) {\n    result.z = 1.;\n  }\n  if(a.w == b.w) {\n    result.w = 1.;\n  }\n\n  return result;\n","float32",!0);var n=new Ea("\nif (a == b) {\n  return 1.0;\n};\nreturn a / b;",t.shape,e.shape);return this.compileAndRun(n,[t,e],"float32")},e.prototype.floorDiv=function(t,e){if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,"\n  ivec4 ia = round(a);\n  ivec4 ib = round(b);\n  bvec4 cond = notEqual(ib, ivec4(0));\n  ivec4 result = ivec4(0);\n  vec4 s = sign(a) * sign(b);\n\n  // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n  if (cond[0]) {\n    result[0] = idiv(ia[0], ib[0], s[0]);\n  }\n  if (cond[1]) {\n    result[1] = idiv(ia[1], ib[1], s[1]);\n  }\n  if (cond[2]) {\n    result[2] = idiv(ia[2], ib[2], s[2]);\n  }\n  if (cond[3]) {\n    result[3] = idiv(ia[3], ib[3], s[3]);\n  }\n  return vec4(result);\n","int32");var n=new Ea("\n  float s = sign(a) * sign(b);\n  int ia = round(a);\n  int ib = round(b);\n  if (ib != 0) {\n    // Windows (D3D) wants guaranteed non-zero int division at compile-time.\n    return float(idiv(ia, ib, s));\n  } else {\n    return NAN;\n  }\n",t.shape,e.shape);return this.compileAndRun(n,[t,e],"int32")},e.prototype.add=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,ya);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.add(t,e);var n=It(t.dtype,e.dtype);if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,ya,n);var r=new Ea(ya,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.packedUnaryOp=function(t,e,n){var r=new Ps(t.shape,e);return this.compileAndRun(r,[t],n)},e.prototype.packedBinaryOp=function(t,e,n,r,o){void 0===o&&(o=!1);var a=new Ia(n,t.shape,e.shape,o);return this.compileAndRun(a,[t,e],r)},e.prototype.complexSeparableBinaryOp=function(t,e,n){var r=this,o=this.texData.get(t.dataId),a=this.texData.get(e.dataId),i=[[o.complexTensors.real,a.complexTensors.real],[o.complexTensors.imag,a.complexTensors.imag]].map(function(o){var a=o[0],i=o[1],s=r.makeComplexComponentTensorInfo(t,a),u=r.makeComplexComponentTensorInfo(e,i),c=new Ea(n,t.shape,e.shape);return r.compileAndRun(c,[s,u],It(a.dtype,i.dtype))}),s=i[0],u=i[1],c=this.complex(s,u);return s.dispose(),u.dispose(),c},e.prototype.makeComplexComponentTensorInfo=function(t,e){return{dataId:e.dataId,dtype:e.dtype,shape:t.shape}},e.prototype.addN=function(t){if(1===t.length)return t[0];if(t.length>u().get("WEBGL_MAX_TEXTURES_IN_SHADER")){var e=Math.floor(t.length/2),n=this.addN(t.slice(0,e)),r=this.addN(t.slice(e));return this.addN([n,r])}var o=t.map(function(t){return t.dtype}).reduce(function(t,e){return It(t,e)}),a=t.map(function(t){return t.shape}),i=u().getBool("WEBGL_PACK")?new qo(t[0].shape,a):new Ho(t[0].shape,a);return this.compileAndRun(i,t,o)},e.prototype.subtract=function(t,e){if("complex64"===t.dtype&&"complex64"===e.dtype)return this.complexSeparableBinaryOp(t,e,ba);if(this.shouldExecuteOnCPU([t,e]))return this.cpuBackend.subtract(t,e);var n=It(t.dtype,e.dtype);if(u().getBool("WEBGL_PACK_BINARY_OPERATIONS"))return this.packedBinaryOp(t,e,ba,t.dtype);var r=new Ea(ba,t.shape,e.shape);return this.compileAndRun(r,[t,e],n)},e.prototype.pow=function(t,e){var n=u().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ia("\n  // isModRound1 has 1 for components with round(mod(b, 2.0)) == 1, 0 otherwise.\n  vec4 isModRound1 = vec4(equal(round(mod(b, 2.0)), ivec4(1)));\n  vec4 multiplier = sign(a) * isModRound1 + (vec4(1.0) - isModRound1);\n  vec4 result = multiplier * pow(abs(a), b);\n\n  // Ensure that a^0 = 1, including 0^0 = 1 as this correspond to TF and JS\n  bvec4 isExpZero = equal(b, vec4(0.0));\n  result.r = isExpZero.r ? 1.0 : result.r;\n  result.g = isExpZero.g ? 1.0 : result.g;\n  result.b = isExpZero.b ? 1.0 : result.b;\n  result.a = isExpZero.a ? 1.0 : result.a;\n\n  vec4 isNaN = vec4(lessThan(a, vec4(0.0))) * vec4(lessThan(floor(b), b));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ea("\nif(a < 0.0 && floor(b) < b){\n  return NAN;\n}\nif (b == 0.0) {\n  return 1.0;\n}\nreturn (round(mod(b, 2.0)) != 1) ?\n    pow(abs(a), b) : sign(a) * pow(abs(a), b);\n",t.shape,e.shape),r=It(t.dtype,e.dtype);return this.compileAndRun(n,[t,e],r)},e.prototype.ceil=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.ceil(t);if(u().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,bs,t.dtype);var e=new ps(t.shape,bs);return this.compileAndRun(e,[t])},e.prototype.floor=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.floor(t);if(u().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,ws,t.dtype);var e=new ps(t.shape,ws);return this.compileAndRun(e,[t])},e.prototype.sign=function(t){var e=new ps(t.shape,"\n  if (isnan(x)) { return 0.0; }\n  return sign(x);\n");return this.compileAndRun(e,[t])},e.prototype.isNaN=function(t){var e=new ps(t.shape,"return float(isnan(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isInf=function(t){var e=new ps(t.shape,"return float(isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.isFinite=function(t){var e=new ps(t.shape,"return float(!isnan(x) && !isinf(x));");return this.compileAndRun(e,[t],"bool")},e.prototype.round=function(t){var e=new ps(t.shape,"\n  // OpenGL ES does not support round function.\n  // The algorithm is based on banker's rounding.\n  float base = floor(x);\n  if ((x - base) < 0.5) {\n    return floor(x);\n  } else if ((x - base) > 0.5) {\n    return ceil(x);\n  } else {\n    if (mod(base, 2.0) == 0.0) {\n      return base;\n    } else {\n      return base + 1.0;\n    }\n  }\n");return this.compileAndRun(e,[t])},e.prototype.exp=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.exp(t);if(u().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Cs,t.dtype);var e=new ps(t.shape,Cs);return this.compileAndRun(e,[t])},e.prototype.expm1=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.expm1(t);if(u().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Es,t.dtype);var e=new ps(t.shape,Es);return this.compileAndRun(e,[t])},e.prototype.log=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.log(t);if(u().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,"\n  vec4 result = log(x);\n  vec4 isNaN = vec4(lessThan(x, vec4(0.0)));\n  result.r = isNaN.r == 1.0 ? NAN : result.r;\n  result.g = isNaN.g == 1.0 ? NAN : result.g;\n  result.b = isNaN.b == 1.0 ? NAN : result.b;\n  result.a = isNaN.a == 1.0 ? NAN : result.a;\n\n  return result;\n",t.dtype);var e=new ps(t.shape,"if (x < 0.0) return NAN;\n  return log(x);");return this.compileAndRun(e,[t])},e.prototype.log1p=function(t){var e=new ps(t.shape,"return log(1.0 + x);");return this.compileAndRun(e,[t])},e.prototype.sqrt=function(t){var e=new ps(t.shape,"return sqrt(x);");return this.compileAndRun(e,[t])},e.prototype.rsqrt=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.rsqrt(t);var e=new ps(t.shape,"return inversesqrt(x);");return this.compileAndRun(e,[t])},e.prototype.reciprocal=function(t){var e=new ps(t.shape,"return 1.0 / x;");return this.compileAndRun(e,[t])},e.prototype.relu=function(t){var e;return e=u().getBool("WEBGL_PACK")?new Ps(t.shape,_s):new ps(t.shape,vs),this.compileAndRun(e,[t])},e.prototype.relu6=function(t){var e;return e=u().getBool("WEBGL_PACK")?new Ps(t.shape,Ms):new ps(t.shape,ms),this.compileAndRun(e,[t])},e.prototype.prelu=function(t,e){var n=u().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ia(Ra,t.shape,e.shape):new Ea(Ca,t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.elu=function(t){if(u().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,Bs,t.dtype);var e=new ps(t.shape,gs);return this.compileAndRun(e,[t])},e.prototype.eluDer=function(t,e){var n=u().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ia("\n  vec4 bGTEZero = vec4(greaterThanEqual(b, vec4(0.)));\n  return (bGTEZero * a) + ((vec4(1.0) - bGTEZero) * (a * (b + vec4(1.0))));\n",t.shape,e.shape):new Ea("return (b >= 1.0) ? a : a * (b + 1.0);",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.selu=function(t){var e=new ps(t.shape,xs);return this.compileAndRun(e,[t])},e.prototype.int=function(t){var e=new ps(t.shape,"return float(int(x));");return this.compileAndRun(e,[t],"int32")},e.prototype.clip=function(t,e,n){var r,o=(r=u().getBool("WEBGL_PACK_CLIP")?new Sa(t.shape):new ka(t.shape)).getCustomSetupFunc(e,n);return this.compileAndRun(r,[t],null,o)},e.prototype.abs=function(t){if(this.shouldExecuteOnCPU([t]))return this.cpuBackend.abs(t);if(u().getBool("WEBGL_PACK_UNARY_OPERATIONS"))return this.packedUnaryOp(t,fs,t.dtype);var e=new ps(t.shape,fs);return this.compileAndRun(e,[t])},e.prototype.complexAbs=function(t){var e=this.texData.get(t.dataId),n=new Aa(t.shape),r=[this.makeComplexComponentTensorInfo(t,e.complexTensors.real),this.makeComplexComponentTensorInfo(t,e.complexTensors.imag)];return this.compileAndRun(n,r)},e.prototype.sigmoid=function(t){var e=new ps(t.shape,"return 1.0 / (1.0 + exp(-1.0 * x));");return this.compileAndRun(e,[t])},e.prototype.softplus=function(t){var e=new ps(t.shape,"\n  float epsilon = 1.1920928955078125e-7;\n  float threshold = log(epsilon) + 2.0;\n\n  bool too_large = x > -threshold;\n  bool too_small = x < threshold;\n\n  float result;\n  float exp_x = exp(x);\n\n  if (too_large){\n    result = x;\n  }\n  else if (too_small){\n    result = exp_x;\n  }\n  else{\n    result = log(exp_x + 1.0);\n  }\n  return result;\n");return this.compileAndRun(e,[t])},e.prototype.sin=function(t){var e=new ps(t.shape,Rs);return this.compileAndRun(e,[t])},e.prototype.cos=function(t){var e=new ps(t.shape,Is);return this.compileAndRun(e,[t])},e.prototype.tan=function(t){var e=new ps(t.shape,"return tan(x);");return this.compileAndRun(e,[t])},e.prototype.asin=function(t){var e=new ps(t.shape,ks);return this.compileAndRun(e,[t])},e.prototype.acos=function(t){var e=new ps(t.shape,Ss);return this.compileAndRun(e,[t])},e.prototype.atan=function(t){var e=new ps(t.shape,As);return this.compileAndRun(e,[t])},e.prototype.atan2=function(t,e){var n=u().getBool("WEBGL_PACK_BINARY_OPERATIONS")?new Ia("\n  vec4 result = atan(a, b);\n  vec4 isNaN = min(vec4(isnan(a)) + vec4(isnan(b)), vec4(1.0));\n  \n  result.r = isNaN.r > 0. ? NAN : result.r;\n  result.g = isNaN.g > 0. ? NAN : result.g;\n  result.b = isNaN.b > 0. ? NAN : result.b;\n  result.a = isNaN.a > 0. ? NAN : result.a;\n\n  return result;\n",t.shape,e.shape):new Ea("\n  if (isnan(a)) return a;\n  if (isnan(b)) return b;\n\n  return atan(a, b);\n",t.shape,e.shape);return this.compileAndRun(n,[t,e])},e.prototype.sinh=function(t){var e=new ps(t.shape,"\n  float e2x = exp(x);\n  return (e2x - 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.cosh=function(t){var e=new ps(t.shape,"\n  float e2x = exp(-x);\n  return (e2x + 1.0 / e2x) / 2.0;\n");return this.compileAndRun(e,[t])},e.prototype.tanh=function(t){var e=new ps(t.shape,"\n  float e2x = exp(-2.0 * abs(x));\n  return sign(x) * (1.0 - e2x) / (1.0 + e2x);\n");return this.compileAndRun(e,[t])},e.prototype.asinh=function(t){var e=new ps(t.shape,Ds);return this.compileAndRun(e,[t])},e.prototype.acosh=function(t){var e=new ps(t.shape,Ts);return this.compileAndRun(e,[t])},e.prototype.atanh=function(t){var e=new ps(t.shape,Ns);return this.compileAndRun(e,[t])},e.prototype.erf=function(t){var e=new ps(t.shape,'\n  // Error function is calculated approximately with elementary function.\n  // See "Handbook of Mathematical Functions with Formulas,\n  // Graphs, and Mathematical Tables", Abramowitz and Stegun.\n  float p = 0.3275911;\n  float a1 = 0.254829592;\n  float a2 = -0.284496736;\n  float a3 = 1.421413741;\n  float a4 = -1.453152027;\n  float a5 = 1.061405429;\n\n  float sign = sign(x);\n  x = abs(x);\n  float t = 1.0 / (1.0 + p * x);\n  return sign * (1.0 - (((((a5*t + a4)*t) + a3)*t + a2)*t + a1)*t*exp(-x*x));\n');return this.compileAndRun(e,[t])},e.prototype.step=function(t,e){var n=new ps(t.shape,function(t){return void 0===t&&(t=0),hs+"\n    return x > 0.0 ? 1.0 : float("+t+");\n  "}(e));return this.compileAndRun(n,[t])},e.prototype.conv2dByMatMul=function(t,e,n,r,o,a){var i=t.shape,s=this.texData.get(t.dataId),c=n.inChannels,l=i[0]*i[1]*i[2],p=n.outChannels,h="channelsLast"===n.dataFormat,d=(1===l||1===p)&&c>1e3,f=i[2]%2!=0&&!!s.isPacked;if(d||!u().getBool("WEBGL_LAZILY_UNPACK")||!u().getBool("WEBGL_PACK_BINARY_OPERATIONS")||!f){var v=h?i[0]*i[1]*i[2]:i[0]*i[2]*i[3],m=this.reshape(t,[1,v,n.inChannels]),g=this.reshape(e,[1,n.inChannels,n.outChannels]);return this.reshape(this.fusedBatchMatMul({a:m,b:g,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),n.outShape)}var x=h?i[0]*i[1]*(i[2]+1):i[0]*i[2]*(i[3]+1),y={dataId:t.dataId,shape:[1,x,n.inChannels],dtype:t.dtype},w=s.shape;s.shape=s.shape.slice(),s.shape[s.shape.length-2]++,b(Te(s.shape,y.shape),function(){return"packed reshape "+s.shape+" to "+y.shape+" isn't free"});var C=this.reshape(e,[1,n.inChannels,n.outChannels]),E=this.fusedBatchMatMul({a:y,b:C,transposeA:!1,transposeB:!1,bias:r,activation:o,preluActivationWeights:a}),R=this.texData.get(E.dataId);return b(R.isPacked,function(){return"batchMatMul result is expected to be packed"}),s.shape=w,R.shape=n.outShape,_t.makeTensorFromDataId(E.dataId,n.outShape,E.dtype)},e.prototype.conv2dWithIm2Row=function(t,e,n,r,o,a){var i=n.filterWidth,s=n.filterHeight,u=n.inChannels,c=n.outWidth,l=n.outHeight,p="channelsLast"===n.dataFormat,h=i*s*u,d=l*c,f=[h,d],v=t.squeeze([0]),m=e.reshape([1,h,-1]),g=new Si(f,v.shape,n),x=this.compileAndRun(g,[v]).reshape([1,f[0],f[1]]),y=null!=r,b=null!=a,w=o?Us(o,!0):null,C=new Oi(x.shape,[1,d,n.outChannels],!0,!1,y,w,b),E=[x,m];r&&E.push(r),b&&E.push(a);var R=this.compileAndRun(C,E);return p?R.reshape([1,l,c,n.outChannels]):R.reshape([1,n.outChannels,l,c])},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights;if(1===r.filterHeight&&1===r.filterWidth&&1===r.dilationHeight&&1===r.dilationWidth&&1===r.strideHeight&&1===r.strideWidth&&("SAME"===r.padInfo.type||"VALID"===r.padInfo.type))return this.conv2dByMatMul(e,n,r,o,a,i);if(u().getBool("WEBGL_CONV_IM2COL")&&1===e.shape[0])return this.conv2dWithIm2Row(e,n,r,o,a,i);var s=null!=o,c=null!=i,l=a?Us(a,!1):null,p=new La(r,s,l,c),h=[e,n];return o&&h.push(o),i&&h.push(i),this.compileAndRun(p,h)},e.prototype.conv2d=function(t,e,n){if(1===n.filterHeight&&1===n.filterWidth&&1===n.dilationHeight&&1===n.dilationWidth&&1===n.strideHeight&&1===n.strideWidth&&("SAME"===n.padInfo.type||"VALID"===n.padInfo.type))return this.conv2dByMatMul(t,e,n);if(u().getBool("WEBGL_CONV_IM2COL")&&1===t.shape[0])return this.conv2dWithIm2Row(t,e,n);var r=new La(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerInput=function(t,e,n){var r=new Oa(n);return this.compileAndRun(r,[t,e])},e.prototype.conv2dDerFilter=function(t,e,n){var r=new Fa(n);return this.compileAndRun(r,[t,e])},e.prototype.fusedDepthwiseConv2D=function(t){var e,n=t.input,r=t.filter,o=t.convInfo,a=t.bias,i=t.activation,s=t.preluActivationWeights,c=u().getBool("WEBGL_PACK_DEPTHWISECONV")&&o.strideWidth<=2&&o.outChannels/o.inChannels==1,l=i?Us(i,c):null,p=[n,r],h=null!=a,d=null!=s;return h&&p.push(a),d&&p.push(s),c?(e=new za(o,h,l,d),this.compileAndRun(e,p)):(e=new Ua(o,h,l,d),this.compileAndRun(e,p))},e.prototype.depthwiseConv2D=function(t,e,n){var r;return u().getBool("WEBGL_PACK_DEPTHWISECONV")&&n.strideWidth<=2&&n.outChannels/n.inChannels==1?(r=new za(n),this.compileAndRun(r,[t,e])):(r=new Ua(n),this.compileAndRun(r,[t,e]))},e.prototype.depthwiseConv2DDerInput=function(t,e,n){var r=new Pa(n);return this.compileAndRun(r,[t,e])},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){var r=new Ba(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3d=function(t,e,n){var r=new Wa(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerInput=function(t,e,n){var r=new Ma(n);return this.compileAndRun(r,[t,e])},e.prototype.conv3dDerFilter=function(t,e,n){var r=new _a(n);return this.compileAndRun(r,[t,e])},e.prototype.maxPool=function(t,e){var n=new Wi(e,"max",!1);return this.compileAndRun(n,[t])},e.prototype.avgPool=function(t,e){var n=new Wi(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPoolBackprop=function(t,e,n,r){var o=new Wi(r,"max",!0),a=this.compileAndRun(o,[e]),i=new Ni(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},e.prototype.avgPoolBackprop=function(t,e,n){var r=new ha(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.cast=function(t,e){return To(t,e,this)},e.prototype.unstack=function(t,e){for(var n=t.shape[e],r=new Array(t.rank-1),o=0,a=0;a<t.rank;a++)a!==e&&(r[o++]=t.shape[a]);var i=new Array(t.rank).fill(0),s=t.shape.slice();s[e]=1;var u=new Array(n);for(a=0;a<u.length;a++)i[e]=a,u[a]=this.slice(t,i,s).reshape(r);return u},e.prototype.avgPool3d=function(t,e){var n=new Ui(e,"avg",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.avgPool3dBackprop=function(t,e,n){var r=new da(n);return this.compileAndRun(r,[t],e.dtype)},e.prototype.maxPool3d=function(t,e){var n=new Ui(e,"max",!1);return this.compileAndRun(n,[t],"float32")},e.prototype.maxPool3dBackprop=function(t,e,n,r){var o=new Ui(r,"max",!0),a=this.compileAndRun(o,[e]),i=new Fi(r),s=this.compileAndRun(i,[t,a],e.dtype);return a.dispose(),s},e.prototype.reshape=function(t,e){var n=this.texData.get(t.dataId);if(n.isPacked&&!Te(t.shape,e)&&(null===n.texture||!Te(n.shape,e))){var r=this.packedReshape(t,e);return _t.makeTensorFromDataId(r.dataId,r.shape,r.dtype)}return No(t,e)},e.prototype.resizeBilinear=function(t,e,n,r){var o=u().getBool("WEBGL_PACK_IMAGE_OPERATIONS")?new qi(t.shape,e,n,r):new Hi(t.shape,e,n,r);return this.compileAndRun(o,[t])},e.prototype.resizeBilinearBackprop=function(t,e,n){var r=new Gi(t,e,n);return this.compileAndRun(r,[t])},e.prototype.resizeNearestNeighbor=function(t,e,n,r){var o=new ji(t.shape,e,n,r);return this.compileAndRun(o,[t])},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){var r=new Ki(t,e,n);return this.compileAndRun(r,[t])},e.prototype.multinomial=function(t,e,n,r){var o=e?t:co(t),a=o.shape[0],i=o.shape[1],s=new _i(a,i,n),u=s.getCustomSetupFunc(r);return this.compileAndRun(s,[o],"int32",u)},e.prototype.oneHot=function(t,e,n,r){var o=new Mi(t.size,e,n,r);return this.compileAndRun(o,[t])},e.prototype.diag=function(t){var e=new Xa(t.size);return this.compileAndRun(e,[t])},e.prototype.nonMaxSuppression=function(t,e,n,r,o){return ln("tf.nonMaxSuppression() in webgl locks the UI thread. 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n=e[0];return{$x:function(){return n.toFloat().cos().mul(t)}}})}}),xu=In({sinh_:function(t){var e=dn(t,"x","sinh");return _t.runKernelFunc(function(t,n){var r=t.sinh(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return n.toFloat().cosh().mulStrict(t)}}})}}),yu=In({softplus_:function(t){var e=dn(t,"x","softplus");return _t.runKernelFunc(function(t,n){var r=t.softplus(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mul(n.sigmoid())}}})}}),bu=In({sqrt_:function(t){var e=dn(t,"x","sqrt");return _t.runKernelFunc(function(t,n){var r=t.sqrt(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.toFloat().sqrt().mul(2))}}})}}),wu=In({step_:function(t,e){void 0===e&&(e=0);var n=dn(t,"x","step");return _t.runKernelFunc(function(t){return t.step(n,e)},{$x:n},function(t){return{$x:function(){return qn(t)}}})}}),Cu=In({tan_:function(t){var e=dn(t,"x","tan");return _t.runKernelFunc(function(t,n){var r=t.tan(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.div(n.cos().square())}}})}}),Eu=In({tanh_:function(t){var e=dn(t,"x","tanh");return _t.runKernelFunc(function(t,n){var r=t.tanh(e);return n([r]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return Nn(1).sub(n.square()).mulStrict(t)}}})}});function Ru(t,e,n,r,o,a){var i,s,u=dn(t,"x","batchNorm"),c=dn(e,"mean","batchNorm"),l=dn(n,"variance","batchNorm");return null!=o&&(i=dn(o,"scale","batchNorm")),null!=r&&(s=dn(r,"offset","batchNorm")),b(2===u.rank,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."}),b(2===c.rank||1===c.rank,function(){return"Error in batchNorm2D: mean must be rank 2 or rank 1 but got rank "+c.rank+"."}),b(2===l.rank||1===l.rank,function(){return"Error in batchNorm2D: variance must be rank 2 or rank 1 but got rank "+l.rank+"."}),null!=i&&b(2===i.rank||1===i.rank,function(){return"Error in batchNorm2D: scale must be rank 2 or rank 1 but got rank "+i.rank+"."}),null!=s&&b(2===s.rank||1===s.rank,function(){return"Error in batchNorm2D: offset must be rank 2 or rank 1 but got rank "+s.rank+"."}),Su(u,c,l,s,i,a)}function Iu(t,e,n,r,o,a){var i,s,u=dn(t,"x","batchNorm"),c=dn(e,"mean","batchNorm"),l=dn(n,"variance","batchNorm");return null!=o&&(i=dn(o,"scale","batchNorm")),null!=r&&(s=dn(r,"offset","batchNorm")),b(3===u.rank,function(){return"Error in batchNorm3D: x must be rank 3 but got rank "+u.rank+"."}),b(3===c.rank||1===c.rank,function(){return"Error in batchNorm3D: mean must be rank 3 or rank 1 but got rank "+c.rank+"."}),b(3===l.rank||1===l.rank,function(){return"Error in batchNorm3D: variance must be rank 3 or rank 1 but got rank "+l.rank+"."}),null!=i&&b(3===i.rank||1===i.rank,function(){return"Error in batchNorm3D: scale must be rank 3 or rank 1 but got rank "+i.rank+"."}),null!=s&&b(3===s.rank||1===s.rank,function(){return"Error in batchNorm3D: offset must be rank 3 or rank 1 but got rank "+s.rank+"."}),Su(u,c,l,s,i,a)}function ku(t,e,n,r,o,a){var i,s,u=dn(t,"x","batchNorm"),c=dn(e,"mean","batchNorm"),l=dn(n,"variance","batchNorm");return null!=o&&(i=dn(o,"scale","batchNorm")),null!=r&&(s=dn(r,"offset","batchNorm")),b(4===u.rank,function(){return"Error in batchNorm4D: x must be rank 4 but got rank "+u.rank+"."}),b(4===c.rank||1===c.rank,function(){return"Error in batchNorm4D: mean must be rank 4 or rank 1 but got rank "+c.rank+"."}),b(4===l.rank||1===l.rank,function(){return"Error in batchNorm4D: variance must be rank 4 or rank 1 but got rank "+l.rank+"."}),null!=i&&b(4===i.rank||1===i.rank,function(){return"Error in batchNorm4D: scale must be rank 4 or rank 1 but got rank "+i.rank+"."}),null!=s&&b(4===s.rank||1===s.rank,function(){return"Error in batchNorm4D: offset must be rank 4 or rank 1 but got rank "+s.rank+"."}),Su(u,c,l,s,i,a)}function Su(t,e,n,r,o,a){null==a&&(a=.001);var i,s,u,c=dn(t,"x","batchNorm"),l=dn(e,"mean","batchNorm"),p=dn(n,"variance","batchNorm");null!=o&&(i=dn(o,"scale","batchNorm")),null!=r&&(s=dn(r,"offset","batchNorm")),b(l.rank===p.rank,function(){return"Batch normalization gradient requires mean and variance to have equal ranks."}),b(null==s||l.rank===s.rank,function(){return"Batch normalization gradient requires mean and offset to have equal ranks."}),b(null==i||l.rank===i.rank,function(){return"Batch normalization gradient requires mean and scale to have equal ranks."}),u=0===c.rank||1===c.rank?c.as4D(1,1,1,c.size):2===c.rank?c.as4D(1,1,c.shape[0],c.shape[1]):3===c.rank?c.as4D(1,c.shape[0],c.shape[1],c.shape[2]):c;var h=[c,l,p,i];return _t.runKernelFunc(function(t,e){var n=t.batchNormalization(u,Au(l),Au(p),a,Au(i),Au(s));return e([c,l,p,i]),n},{x:c,mean:l,variance:p,scale:i,offset:s},function(t,e){var n=e,r=n[0],o=n[1],i=n[2],s=n[3],c=null==s?Nn(1):s,l=mo(o.shape,u.shape),p=[];if(1===o.rank){for(var h=0;h<u.shape.length-1;++h)p.push(u.shape[h]);p.push(1)}var d=r.sub(o),f=t.mul(c),v=pu(i.add(Nn(a))),m=v.mul(v).mul(v).mul(Nn(-.5));return{x:function(){return 1===o.rank?t.mul(_r(v.as4D(1,1,1,o.shape[0]),p)).mul(c).reshape(r.shape):t.mul(v).mul(c).reshape(r.shape)},mean:function(){var t=v.mul(Nn(-1)).mul(f);return 1===o.rank&&(t=t.sum(l)),t.reshape(o.shape)},variance:function(){var t=m.mul(d).mul(f);return 1===o.rank&&(t=t.sum(l)),t.reshape(o.shape)},scale:function(){var e=d.mul(v),n=t.mul(e);return 1===o.rank&&(n=n.sum(l)),n.reshape(o.shape)},offset:function(){var e=t;return 1===o.rank&&(e=e.sum(l)),e.reshape(o.shape)}}},"BatchNormalization",{varianceEpsilon:a},h).reshape(c.shape)}function Au(t){return null==t?null:0===t.rank?t.as1D():1===t.rank?t:2===t.rank?t.as4D(1,1,t.shape[0],t.shape[1]):3===t.rank?t.as4D(1,t.shape[0],t.shape[1],t.shape[2]):t}function Du(){qe("tf.batchNormalization() is going away. Use tf.batchNorm() instead, and note the positional argument change of scale, offset, and varianceEpsilon")}exports.tanh=Eu,exports.tan=Cu,exports.step=wu,exports.sqrt=bu,exports.softplus=yu,exports.sinh=xu,exports.sin=gu,exports.isFinite=mu,exports.isInf=vu,exports.isNaN=fu,exports.sign=du,exports.sigmoid=hu,exports.rsqrt=pu,exports.round=lu,exports.reciprocal=cu,exports.neg=uu,exports.logSigmoid=su,exports.log1p=iu,exports.log=au,exports.floor=ou,exports.expm1=ru,exports.exp=nu,exports.erf=eu,exports.cosh=tu,exports.cos=Zs,exports.clipByValue=Js,exports.ceil=Qs,exports.atanh=Ys,exports.atan=$s,exports.asinh=Xs,exports.asin=js,exports.acosh=Ks,exports.acos=qs,exports.abs=Hs;var Tu=In({batchNormalization2d_:function(t,e,n,r,o,a){return void 0===r&&(r=.001),Du(),Ru(t,e,n,a,o,r)}}),Nu=In({batchNormalization3d_:function(t,e,n,r,o,a){return void 0===r&&(r=.001),Du(),Iu(t,e,n,a,o,r)}}),Fu=In({batchNormalization4d_:function(t,e,n,r,o,a){return void 0===r&&(r=.001),Du(),ku(t,e,n,a,o,r)}}),Ou=In({batchNormalization_:function(t,e,n,r,o,a){return void 0===r&&(r=.001),Du(),Su(t,e,n,a,o,r)}}),_u=In({batchNorm_:Su}),Mu=In({batchNorm2d_:Ru}),Bu=In({batchNorm3d_:Iu}),Pu=In({batchNorm4d_:ku});exports.batchNorm4d=Pu,exports.batchNorm3d=Bu,exports.batchNorm2d=Mu,exports.batchNorm=_u,exports.batchNormalization=Ou,exports.batchNormalization4d=Fu,exports.batchNormalization3d=Nu,exports.batchNormalization2d=Tu;var Lu=In({logicalAnd_:function(t,e){var n=dn(t,"a","logicalAnd","bool"),r=dn(e,"b","logicalAnd","bool");return go(n.shape,r.shape),_t.runKernelFunc(function(t){return t.logicalAnd(n,r)},{$a:n,$b:r})}}),Wu=In({logicalNot_:function(t){var e=dn(t,"x","logicalNot","bool");return _t.runKernelFunc(function(t){return t.logicalNot(e)},{$x:e})}}),Uu=In({logicalOr_:function(t,e){var n=dn(t,"a","logicalOr","bool"),r=dn(e,"b","logicalOr","bool");return go(n.shape,r.shape),_t.runKernelFunc(function(t){return t.logicalOr(n,r)},{$a:n,$b:r})}}),zu=In({logicalXor_:function(t,e){var n=dn(t,"a","logicalXor","bool"),r=dn(e,"b","logicalXor","bool");return go(n.shape,r.shape),Uu(t,e).logicalAnd(Lu(t,e).logicalNot())}}),Vu=In({where_:function(t,e,n){var r=dn(e,"a","where"),o=dn(n,"b","where"),a=dn(t,"condition","where","bool");return w(r.shape,o.shape,"Error in where: "),1===a.rank?b(a.shape[0]===r.shape[0],function(){return"The first dimension of `a` must match the size of `condition`."}):w(a.shape,o.shape,"Error in where: "),_t.runKernelFunc(function(t,e){var n=t.select(a,r,o);return e([a]),n},{$condition:a,$a:r,$b:o},function(t,e){var n=e[0];return{$condition:function(){return qn(n).toFloat()},$a:function(){return t.mul(n.cast(t.dtype))},$b:function(){return t.mul(n.logicalNot().cast(t.dtype))}}})}}),Gu=function(t){return a(this,void 0,void 0,function(){var e,n,r;return i(this,function(o){switch(o.label){case 0:return[4,(e=dn(t,"condition","whereAsync","bool")).data()];case 1:return n=o.sent(),r=Go(e.shape,n),t!==e&&e.dispose(),[2,r]}})})};exports.whereAsync=Gu,exports.where=Vu,exports.logicalXor=zu,exports.logicalOr=Uu,exports.logicalNot=Wu,exports.logicalAnd=Lu;var Hu=In({add_:function(t,e){var n,r=dn(t,"a","add"),o=dn(e,"b","add");n=St(r,o),r=n[0],o=n[1];var a=go(r.shape,o.shape);return _t.runKernelFunc(function(t){return t.add(r,o)},{a:r,b:o},function(t){return{a:function(){var e=t,n=mo(r.shape,a);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)},b:function(){var e=t,n=mo(o.shape,a);return n.length>0&&(e=e.sum(n)),e.reshape(o.shape)}}},"Add")}}),qu=In({addN_:function(t){b(Array.isArray(t),function(){return"The argument passed to tf.addN() must be a list of tensors"}),b(t.length>=1,function(){return"Must pass at least one tensor to tf.addN(), but got "+t.length});var e=t.map(function(t,e){return dn(t,"tensors"+e,"addN")}),n=e[0];e.forEach(function(t){if(t.dtype!==n.dtype)throw new Error("All tensors passed to tf.addN() must have the same dtype")}),e.forEach(function(t){if(!I(t.shape,n.shape))throw new Error("All tensors passed to tf.addN() must have the same shape")});var r=e;return _t.runKernelFunc(function(t){return t.addN(e)},r,function(t){var n={};return e.forEach(function(e,r){n[r]=function(){return t.clone()}}),n})}}),Ku=In({addStrict_:function(t,e){var n=dn(t,"a","addStrict"),r=dn(e,"b","addStrict");return w(n.shape,r.shape,"Error in addStrict: "),n.add(r)}}),ju=In({atan2_:function(t,e){var n,r=dn(t,"a","atan2"),o=dn(e,"b","atan2");n=St(r,o),r=n[0],o=n[1];var a=go(r.shape,o.shape);return _t.runKernelFunc(function(t,e){var n=t.atan2(r,o);return e([r,o]),n},{$a:r,$b:o},function(t,e){var n=e[0],r=e[1];return{$a:function(){var e=Hu(n.square(),r.square()),o=t.mul(r.div(e)),i=mo(n.shape,a);return i.length>0&&(o=o.sum(i)),o.reshape(n.shape)},$b:function(){var e=Hu(n.square(),r.square()),o=uu(t.mul(n.div(e))),i=mo(r.shape,a);return i.length>0&&(o=o.sum(i)),o.reshape(r.shape)}}})}}),Xu=In({div_:function(t,e){var n,r=dn(t,"a","div"),o=dn(e,"b","div");if(n=St(r,o),r=n[0],o=n[1],"int32"===r.dtype&&"int32"===o.dtype)return Yu(r,o);var a=go(r.shape,o.shape);return _t.runKernelFunc(function(t,e){var n=t.realDivide(r,o);return e([r,o]),n},{a:r,b:o},function(t,e){var n=e[0],r=e[1];return{a:function(){var e=t.div(r.toFloat()),o=mo(n.shape,a);return o.length>0?e.sum(o).reshape(n.shape):e},b:function(){var e=t.mul(n.toFloat()),o=mo(r.shape,a);o.length>0&&(e=e.sum(o).reshape(r.shape));var i=r.square();return e.div(i.toFloat()).neg()}}},"Div")}}),$u=In({divStrict_:function(t,e){var n=dn(t,"a","div"),r=dn(e,"b","div");return w(n.shape,r.shape,"Error in divideStrict: "),n.div(r)}}),Yu=In({floorDiv_:function(t,e){var n,r=dn(t,"a","floorDiv"),o=dn(e,"b","floorDiv");n=St(r,o),r=n[0],o=n[1];var a=go(r.shape,o.shape);return _t.runKernelFunc(function(t,e){var n=t.floorDiv(r,o);return e([r,o]),n},{$a:r,$b:o},function(t,e){var n=e[0],r=e[1];return{$a:function(){var e=t.div(r.toFloat()),o=mo(n.shape,a);return o.length>0?e.sum(o).reshape(n.shape):e},$b:function(){var e=t.mul(n.toFloat()),o=mo(r.shape,a);o.length>0&&(e=e.sum(o).reshape(r.shape));var i=r.square();return e.div(i.toFloat()).neg()}}})}}),Qu=In({maximum_:function(t,e){var n,r=dn(t,"a","maximum"),o=dn(e,"b","maximum");return n=St(r,o),r=n[0],o=n[1],"bool"===r.dtype&&(r=r.toInt(),o=o.toInt()),go(r.shape,o.shape),_t.runKernelFunc(function(t,e){var n=t.maximum(r,o);return e([r,o]),n},{$a:r,$b:o},function(t,e){var n=e[0],r=e[1];return{$a:function(){return t.mul(n.greaterEqual(r).toFloat())},$b:function(){return t.mul(n.less(r).toFloat())}}})}}),Ju=In({maximumStrict_:function(t,e){var n=dn(t,"a","maximumStrict"),r=dn(e,"b","maximumStrict");return w(n.shape,r.shape,"Error in maximumStrict: "),n.maximum(r)}}),Zu=In({minimum_:function(t,e){var n,r=dn(t,"a","minimum"),o=dn(e,"b","minimum");return n=St(r,o),r=n[0],o=n[1],"bool"===r.dtype&&(r=r.toInt(),o=o.toInt()),go(r.shape,o.shape),_t.runKernelFunc(function(t,e){var n=t.minimum(r,o);return e([r,o]),n},{$a:r,$b:o},function(t,e){var n=e[0],r=e[1];return{$a:function(){return t.mul(n.lessEqual(r).toFloat())},$b:function(){return t.mul(n.greater(r).toFloat())}}})}}),tc=In({minimumStrict_:function(t,e){var n=dn(t,"a","minimumStrict"),r=dn(e,"b","minimumStrict");return w(n.shape,r.shape,"Error in minimumStrict: "),n.minimum(r)}}),ec=In({mod_:function(t,e){var n,r=dn(t,"a","mod"),o=dn(e,"b","mod");n=St(r,o),r=n[0],o=n[1];var a=go(r.shape,o.shape);return _t.runKernelFunc(function(t,e){var n=t.mod(r,o);return e([r,o]),n},{$a:r,$b:o},function(t,e){var n=e[0],r=e[1];return{$a:function(){var e=mo(n.shape,a);return e.length>0?t.sum(e).reshape(n.shape):t},$b:function(){var e=t.mul(n.div(r).floor().neg()),o=mo(r.shape,a);return o.length>0?e.sum(o).reshape(r.shape):e}}})}}),nc=In({modStrict_:function(t,e){var n=dn(t,"a","modStrict"),r=dn(e,"b","modStrict");return w(n.shape,r.shape,"Error in modStrict: "),n.mod(r)}}),rc=In({mul_:function(t,e){var n,r=dn(t,"a","mul"),o=dn(e,"b","mul");n=St(r,o),r=n[0],o=n[1];var a=go(r.shape,o.shape);return _t.runKernelFunc(function(t,e){var n=t.multiply(r,o);return e([r,o]),n},{a:r,b:o},function(t,e){var n=e[0],r=e[1];return{a:function(){var e=t.mul(r.toFloat()),o=mo(n.shape,a);return o.length>0?e.sum(o).reshape(n.shape):e},b:function(){var e=t.mul(n.toFloat()),o=mo(r.shape,a);return o.length>0?e.sum(o).reshape(r.shape):e}}},"Mul")}}),oc=In({mulStrict_:function(t,e){var n=dn(t,"a","mul"),r=dn(e,"b","mul");return w(n.shape,r.shape,"Error in multiplyStrict: "),n.mul(r)}}),ac=In({pow_:function(t,e){var n=dn(t,"base","pow"),r=dn(e,"exp","pow"),o=go(n.shape,r.shape);return t=n.cast(It(n.dtype,r.dtype)),e=r.cast(It(n.dtype,r.dtype)),_t.runKernelFunc(function(t,e){var o=t.pow(n,r);return e([n,r,o]),o},{$base:n,$exp:r},function(t,e){var n=e[0],r=e[1],a=e[2];return{$base:function(){var e=r.toFloat(),a=t.mul(e.mul(n.pow(e.sub(Nn(1))))),i=mo(n.shape,o);return i.length>0&&(a=a.sum(i)),a.reshape(n.shape)},$exp:function(){var e=n.greater(0),i=n.log().where(e,qn(n)),s=t.mul(a.mul(i)),u=mo(r.shape,o);return u.length>0&&(s=s.sum(u)),s.reshape(r.shape)}}})}}),ic=In({powStrict_:function(t,e){return w(t.shape,e.shape,"Error in powStrict: "),t.pow(e)}}),sc=In({squaredDifference_:function(t,e){var n,r=dn(t,"a","squaredDifference"),o=dn(e,"b","squaredDifference");return n=St(r,o),r=n[0],o=n[1],go(r.shape,o.shape),_t.runKernelFunc(function(t,e){var n=t.squaredDifference(r,o);return e([r,o]),n},{$a:r,$b:o},function(t,e){var n=e[0],r=e[1],o=Nn(2);return{$a:function(){return t.mul(n.sub(r).mul(o))},$b:function(){return t.mul(r.sub(n).mul(o))}}})}}),uc=In({squaredDifferenceStrict_:function(t,e){var n=dn(t,"a","squaredDifferenceStrict"),r=dn(e,"b","squaredDifferenceStrict");return w(n.shape,r.shape,"Error in squaredDifferenceStrict: "),n.squaredDifference(r)}}),cc=In({sub_:function(t,e){var n,r=dn(t,"a","sub"),o=dn(e,"b","sub");n=St(r,o),r=n[0],o=n[1];var a=go(r.shape,o.shape);return _t.runKernelFunc(function(t){return t.subtract(r,o)},{a:r,b:o},function(t){return{a:function(){var e=t,n=mo(r.shape,a);return n.length>0&&(e=e.sum(n)),e.reshape(r.shape)},b:function(){var e=t,n=mo(o.shape,a);return n.length>0&&(e=e.sum(n)),e.neg().reshape(o.shape)}}},"Sub")}}),lc=In({subStrict_:function(t,e){var n=dn(t,"a","subStrict"),r=dn(e,"b","subStrict");return w(n.shape,r.shape,"Error in subStrict: "),n.sub(r)}});exports.subStrict=lc,exports.sub=cc,exports.squaredDifferenceStrict=uc,exports.squaredDifference=sc,exports.powStrict=ic,exports.pow=ac,exports.mulStrict=oc,exports.mul=rc,exports.modStrict=nc,exports.mod=ec,exports.minimumStrict=tc,exports.minimum=Zu,exports.maximumStrict=Ju,exports.maximum=Qu,exports.floorDiv=Yu,exports.divStrict=$u,exports.div=Xu,exports.atan2=ju,exports.addStrict=Ku,exports.addN=qu,exports.add=Hu;var pc=In({equal_:function(t,e){var n,r=dn(t,"a","equal"),o=dn(e,"b","equal");return n=St(r,o),r=n[0],o=n[1],go(r.shape,o.shape),_t.runKernelFunc(function(t){return t.equal(r,o)},{$a:r,$b:o})}}),hc=In({equalStrict_:function(t,e){var n=dn(t,"a","equalStrict"),r=dn(e,"b","equalStrict");return w(n.shape,r.shape,"Error in equalStrict: "),n.equal(r)}}),dc=In({greater_:function(t,e){var n,r=dn(t,"a","greater"),o=dn(e,"b","greater");return n=St(r,o),r=n[0],o=n[1],go(r.shape,o.shape),_t.runKernelFunc(function(t){return t.greater(r,o)},{$a:r,$b:o})}}),fc=In({greaterEqual_:function(t,e){var n,r=dn(t,"a","greaterEqual"),o=dn(e,"b","greaterEqual");return n=St(r,o),r=n[0],o=n[1],go(r.shape,o.shape),_t.runKernelFunc(function(t,e){var n=t.greaterEqual(r,o);return e([r,o]),n},{$a:r,$b:o},function(t,e){var n=e[0],r=e[1];return{$a:function(){return qn(n)},$b:function(){return qn(r)}}})}}),vc=In({greaterEqualStrict_:function(t,e){var n=dn(t,"a","greaterEqualStrict"),r=dn(e,"b","greaterEqualStrict");return w(n.shape,r.shape,"Error in greaterEqualStrict: "),n.greaterEqual(r)}}),mc=In({greaterStrict_:function(t,e){var n=dn(t,"a","greaterStrict"),r=dn(e,"b","greaterStrict");return w(n.shape,r.shape,"Error in greaterStrict: "),n.greater(r)}}),gc=In({less_:function(t,e){var n,r=dn(t,"a","less"),o=dn(e,"b","less");return n=St(r,o),r=n[0],o=n[1],go(r.shape,o.shape),_t.runKernelFunc(function(t){return t.less(r,o)},{$a:r,$b:o})}}),xc=In({lessEqual_:function(t,e){var n,r=dn(t,"a","lessEqual"),o=dn(e,"b","lessEqual");return n=St(r,o),r=n[0],o=n[1],go(r.shape,o.shape),_t.runKernelFunc(function(t){return t.lessEqual(r,o)},{$a:r,$b:o})}}),yc=In({lessEqualStrict_:function(t,e){var n=dn(t,"a","lessEqualStrict"),r=dn(e,"b","lessEqualStrict");return w(n.shape,r.shape,"Error in lessEqualStrict: "),n.lessEqual(r)}}),bc=In({lessStrict_:function(t,e){var n=dn(t,"a","lessStrict"),r=dn(e,"b","lessStrict");return w(n.shape,r.shape,"Error in lessStrict: "),n.less(r)}}),wc=In({notEqual_:function(t,e){var n,r=dn(t,"a","notEqual"),o=dn(e,"b","notEqual");return n=St(r,o),r=n[0],o=n[1],go(r.shape,o.shape),_t.runKernelFunc(function(t){return t.notEqual(r,o)},{$a:r,$b:o})}}),Cc=In({notEqualStrict_:function(t,e){var n=dn(t,"a","notEqualStrict"),r=dn(e,"b","notEqualStrict");return w(n.shape,r.shape,"Error in notEqualStrict: "),n.notEqual(r)}});function Ec(t,e){for(var n=[],r=t;r<e;++r)n.push(r);return n}function Rc(t){for(var e=[],n=0;n<t.length;++n)for(var r=0;r<t[n].length;++r)e.push(t[n][r]);return e}exports.notEqualStrict=Cc,exports.notEqual=wc,exports.lessStrict=bc,exports.lessEqualStrict=yc,exports.lessEqual=xc,exports.less=gc,exports.greaterStrict=mc,exports.greaterEqualStrict=vc,exports.greaterEqual=fc,exports.greater=dc,exports.equalStrict=hc,exports.equal=pc;var Ic=In({gather_:function(t,e,n){void 0===n&&(n=0);var r=dn(t,"x","gather"),o=dn(e,"indices","gather","int32");n=F(n,r.shape)[0];var a=function(t,e,n){for(var r=t.shape[n],o=[],a=1,i=1,s=0;s<n;s++)o.push(t.shape[s]),a*=t.shape[s];for(s=0;s<e.rank;s++)o.push(e.shape[s]);for(s=n+1;s<t.rank;s++)o.push(t.shape[s]),i*=t.shape[s];return{batchSize:a,sliceSize:i,dimSize:r,outputShape:o}}(r,o,n);return _t.runKernelFunc(function(t,e){var a=t.gather(r,o.flatten(),n);return e([o]),a},{$x:r},function(t,e){var o=e[0];return{$x:function(){var e=r.shape,a=o.size,i=e.slice(0,n),s=i.length,u=e.slice(n,e.length).slice(1),c=u.length,l=Ec(0,s),p=Ec(s+1,s+1+c),h=Rc([i,[a],u]),d=t.reshape(h),f=o.reshape([a]),v=Rc([[s],l,p]),m=d.transpose(v),g=kc(m,f,r.shape[n]),x=wn(v);return g.transpose(x)}}}).reshape(a.outputShape)}}),kc=In({unsortedSegmentSum_:function(t,e,n){var r=dn(t,"x","unsortedSegmentSum"),o=dn(e,"segmentIds","unsortedSegmentSum","int32");return b(k(n),function(){return"numSegments must be of dtype int"}),_t.runKernelFunc(function(t,e){var a=t.unsortedSegmentSum(r,o,n);return e([o]),a},{$x:r},function(t,e){var n=e[0];return{$x:function(){return function(t,e){for(var n=Qu(e,qn(e)),r=Ic(t,n),o=fc(e,Nn(0,"int32")),a=r.rank-o.rank,i=0;i<a;++i)o=gr(o,i+1);o=Lu(o,Wn(r.shape,"bool"));var s=qn(r);return Vu(o,r,s)}(t,n)}}})}});exports.unsortedSegmentSum=kc,exports.gather=Ic;var Sc=function(t,e,n){return a(this,void 0,void 0,function(){var r,o,a,s,u,c,l,p,h,d,f,v,m;return i(this,function(i){switch(i.label){case 0:for(r=dn(t,"tensor","boolMask"),o=dn(e,"mask","boolMask","bool"),a=null==n?0:n,s=o.rank,u=r.shape,b(s>0,function(){return"mask cannot be scalar"}),w(u.slice(a,a+s),o.shape,"mask's shape must match the first K dimensions of tensor's shape,"),c=1,l=a;l<a+s;l++)c*=u[l];return p=u.slice(0,a).concat([c],u.slice(a+s)),h=r.reshape(p),d=o.reshape([-1]),[4,Gu(d)];case 1:return f=i.sent(),v=f.squeeze([1]),m=Ic(h,v,a),t!==r&&r.dispose(),e!==o&&o.dispose(),v.dispose(),h.dispose(),d.dispose(),f.dispose(),[2,m]}})})};function Ac(t,e,n,r,o,a,i){void 0===a&&(a="NHWC"),b(t.length===e.rank,function(){return"Length of inShape ("+t.length+") and rank of dy ("+e.rank+") must match"});var s=t,u=e,c=!1;3===e.rank&&(c=!0,u=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]),s=[1,t[0],t[1],t[2]]),b(4===s.length,function(){return"Error in conv2dDerInput: inShape must be length 4, but got length "+s.length+"."}),b(4===u.rank,function(){return"Error in conv2dDerInput: dy must be rank 4, but got rank "+u.rank}),b(4===n.rank,function(){return"Error in conv2dDerInput: filter must be rank 4, but got rank "+n.rank});var l="NHWC"===a?s[3]:s[1],p="NHWC"===a?u.shape[3]:u.shape[1];b(l===n.shape[2],function(){return"Error in conv2dDerInput: depth of input ("+l+") must match input depth for filter "+n.shape[2]+"."}),b(p===n.shape[3],function(){return"Error in conv2dDerInput: depth of output ("+p+") must match output depth for filter "+n.shape[3]+"."}),null!=i&&b(k(o),function(){return"Error in conv2dDerInput: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+o+"."});var h=Do(a),d=bo(s,n.shape,r,1,o,i,!1,h),f=_t.runKernelFunc(function(t,e){var r=t.conv2dDerInput(u,n,d);return e([n,u]),r},{dy4D:u,filter:n},function(t,e){var n=e[0],s=e[1];return{dy4D:function(){return Fc(t,n,r,o,a,1,i)},filter:function(){return _c(t,s,n.shape,r,o,a,i)}}});return c?f.as3D(f.shape[1],f.shape[2],f.shape[3]):f}function Dc(t){var e=function(t){return"number"==typeof t?[t,t,t]:2===t.length?[t[0],t[1],1]:t}(t),n=e[0],r=e[1],o=e[2];return 1===n&&1===r&&1===o}function Tc(t,e,n,r,o){b(t.length===e.rank,function(){return"Length of inShape ("+t.length+") and rank of dy ("+e.rank+") must match"});var a=t,i=e,s=!1;4===e.rank&&(s=!0,i=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3]),a=[1,t[0],t[1],t[2],t[3]]);var u=a[4],c=i.shape[4];b(5===a.length,function(){return"Error in conv3dDerInput: inShape must be length 5, but got length "+a.length+"."}),b(5===i.rank,function(){return"Error in conv3dDerInput: dy must be rank 5, but got rank "+i.rank}),b(5===n.rank,function(){return"Error in conv3dDerInput: filter must be rank 5, but got rank "+n.rank}),b(u===n.shape[3],function(){return"Error in conv3dDerInput: depth of input ("+u+") must match input depth for filter "+n.shape[3]+"."}),b(c===n.shape[4],function(){return"Error in conv3dDerInput: depth of output ("+c+") must match output depth for filter "+n.shape[4]+"."});var l=wo(a,n.shape,r,1,o),p=_t.runKernelFunc(function(t){return t.conv3dDerInput(i,n,l)},{dy5D:i});return s?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}exports.booleanMaskAsync=Sc;var Nc=In({conv1d_:function(t,e,n,r,o,a,i){void 0===o&&(o="NWC"),void 0===a&&(a=1);var s=dn(t,"x","conv1d"),u=dn(e,"filter","conv1d"),c=s,l=!1;2===s.rank&&(l=!0,c=s.as3D(1,s.shape[0],s.shape[1])),b(3===c.rank,function(){return"Error in conv1d: input must be rank 3, but got rank "+c.rank+"."}),b(3===u.rank,function(){return"Error in conv1d: filter must be rank 3, but got rank "+u.rank+"."}),null!=i&&b(k(r),function(){return"Error in conv1d: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+r+"."}),b(c.shape[2]===u.shape[1],function(){return"Error in conv1d: depth of input ("+c.shape[2]+") must match input depth for filter "+u.shape[1]+"."}),b(Ao(n,a),function(){return"Error in conv1D: Either stride or dilation must be 1. Got stride "+n+" and dilation '"+a+"'"}),b("NWC"===o,function(){return"Error in conv1d: got dataFormat of "+o+" but only NWC is currently supported."});var p=u.as4D(1,u.shape[0],u.shape[1],u.shape[2]),h=c.as4D(c.shape[0],1,c.shape[1],c.shape[2]),d=Fc(h,p,[1,n],r,"NHWC",[1,a],i);return l?d.as2D(d.shape[2],d.shape[3]):d.as3D(d.shape[0],d.shape[2],d.shape[3])}}),Fc=In({conv2d_:function(t,e,n,r,o,a,i){void 0===o&&(o="NHWC"),void 0===a&&(a=[1,1]);var s=dn(t,"x","conv2d"),u=dn(e,"filter","conv2d"),c=s,l=!1;3===s.rank&&(l=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),b(4===c.rank,function(){return"Error in conv2d: input must be rank 4, but got rank "+c.rank+"."}),b(4===u.rank,function(){return"Error in conv2d: filter must be rank 4, but got rank "+u.rank+"."}),null!=i&&b(k(r),function(){return"Error in conv2d: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+r+"."});var p="NHWC"===o?c.shape[3]:c.shape[1];b(p===u.shape[2],function(){return"Error in conv2d: depth of input ("+p+") must match input depth for filter "+u.shape[2]+"."}),b(Ao(n,a),function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+a+"'"});var h=Do(o),d=bo(c.shape,u.shape,n,a,r,i,!1,h),f=_t.runKernelFunc(function(t,e){var n=t.conv2d(c,u,d);return e([u,c]),n},{x:c,$filter:u},function(t,e){var i=e,s=i[0],u=i[1];return b(So(a),function(){return"Error in gradient of conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+a+"'"}),{x:function(){return Mc(u.shape,t,s,n,r,o)},$filter:function(){return _c(u,t,s.shape,n,r,o)}}});return l?f.as3D(f.shape[1],f.shape[2],f.shape[3]):f}}),Oc=In({conv3d_:function(t,e,n,r,o,a){void 0===o&&(o="NDHWC"),void 0===a&&(a=[1,1,1]);var i=dn(t,"x","conv3d"),s=dn(e,"filter","conv3d"),u=i,c=!1;4===i.rank&&(c=!0,u=i.as5D(1,i.shape[0],i.shape[1],i.shape[2],i.shape[3])),b(5===u.rank,function(){return"Error in conv3d: input must be rank 5, but got rank "+u.rank+"."}),b(5===s.rank,function(){return"Error in conv3d: filter must be rank 5, but got rank "+s.rank+"."}),b(u.shape[4]===s.shape[3],function(){return"Error in conv3d: depth of input ("+u.shape[4]+") must match input depth for filter "+s.shape[3]+"."}),b(function(t,e){return Dc(n)||Dc(e)}(0,a),function(){return"Error in conv3D: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+a+"'"}),b("NDHWC"===o,function(){return"Error in conv3d: got dataFormat of "+o+" but only NDHWC is currently supported."});var l=wo(u.shape,s.shape,n,a,r),p=_t.runKernelFunc(function(t,e){var n=t.conv3d(u,s,l);return e([u,s]),n},{x:u,$filter:s},function(t,e){b(Dc(a),function(){return"Error in gradient of conv3D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+a+"'"});var o=e[0],i=e[1];return{x:function(){return Tc(o.shape,t,i,n,r)},$filter:function(){return function(t,e,n,r,o){var a=t;4===t.rank&&(a=t.as5D(1,t.shape[0],t.shape[1],t.shape[2],t.shape[3]));var i=e;4===i.rank&&(i=e.as5D(1,e.shape[0],e.shape[1],e.shape[2],e.shape[3])),b(5===a.rank,function(){return"Error in conv3dDerFilter: input must be rank 5, but got shape "+a.shape+"."}),b(5===i.rank,function(){return"Error in conv3dDerFilter: dy must be rank 5, but got shape "+i.shape+"."}),b(5===n.length,function(){return"Error in conv3dDerFilter: filterShape must be length 5, but got "+n+"."}),b(a.shape[4]===n[3],function(){return"Error in conv3dDerFilter: depth of input "+a.shape[4]+") must match input depth in filter ("+n[3]+"."}),b(i.shape[4]===n[4],function(){return"Error in conv3dDerFilter: depth of dy ("+i.shape[4]+") must match output depth for filter ("+n[4]+")."});var s=wo(a.shape,n,r,1,o);return _t.runKernelFunc(function(t){return t.conv3dDerFilter(a,i,s)},{x5D:a,dy5D:i})}(o,t,i.shape,n,r)}}});return c?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}}),_c=In({conv2dDerFilter_:function(t,e,n,r,o,a,i){void 0===a&&(a="NHWC");var s=t;3===t.rank&&(s=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var u=e;3===u.rank&&(u=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),b(4===s.rank,function(){return"Error in conv2dDerFilter: input must be rank 4, but got shape "+s.shape+"."}),b(4===u.rank,function(){return"Error in conv2dDerFilter: dy must be rank 4, but got shape "+u.shape+"."}),b(4===n.length,function(){return"Error in conv2dDerFilter: filterShape must be length 4, but got "+n+"."});var c="NHWC"===a?s.shape[3]:s.shape[1],l="NHWC"===a?u.shape[3]:u.shape[1];b(c===n[2],function(){return"Error in conv2dDerFilter: depth of input "+c+") must match input depth in filter ("+n[2]+"."}),b(l===n[3],function(){return"Error in conv2dDerFilter: depth of dy ("+l+") must match output depth for filter ("+n[3]+")."}),null!=i&&b(k(o),function(){return"Error in conv2dDerFilter: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+o+"."});var p=Do(a),h=bo(s.shape,n,r,1,o,i,!1,p);return _t.runKernelFunc(function(t){return t.conv2dDerFilter(s,u,h)},{x4D:s,dy4D:u})}}),Mc=In({conv2dDerInput_:Ac}),Bc=In({depthwiseConv2d_:function(t,e,n,r,o,a,i){void 0===o&&(o="NHWC"),void 0===a&&(a=[1,1]);var s=dn(t,"x","depthwiseConv2d"),u=dn(e,"filter","depthwiseConv2d"),c=s,l=!1;3===s.rank&&(l=!0,c=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),b(4===c.rank,function(){return"Error in depthwiseConv2d: input must be rank 4, but got rank "+c.rank+"."}),b(4===u.rank,function(){return"Error in depthwiseConv2d: filter must be rank 4, but got rank "+u.rank+"."}),b(c.shape[3]===u.shape[2],function(){return"Error in depthwiseConv2d: number of input channels ("+c.shape[3]+") must match the inChannels dimension in filter "+u.shape[2]+"."}),null==a&&(a=[1,1]),b(Ao(n,a),function(){return"Error in depthwiseConv2d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+a+"'"}),null!=i&&b(k(r),function(){return"Error in depthwiseConv2d: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+r+"."});var p=bo(c.shape,u.shape,n,a,r,i,!0),h=_t.runKernelFunc(function(t,e){var n=t.depthwiseConv2D(c,u,p);return e([c,u]),n},{x:c,$filter:u},function(t,e){b(So(a),function(){return"Error in gradient of depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+a+"'"});var n=e[0],r=e[1];return{x:function(){return Pc(n.shape,t,r,p)},$filter:function(){return Lc(n,t,r.shape,p)}}});return l?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}}),Pc=In({depthwiseConv2dDerInput_:function(t,e,n,r){var o=e,a=!1;3===e.rank&&(a=!0,o=e.as4D(1,e.shape[0],e.shape[1],e.shape[2]));var i=_t.runKernelFunc(function(t){return t.depthwiseConv2DDerInput(o,n,r)},{dy4D:o});return a?i.as3D(i.shape[1],i.shape[2],i.shape[3]):i}}),Lc=In({depthwiseConv2dDerFilter_:function(t,e,n,r){var o=t;3===t.rank&&(o=t.as4D(1,t.shape[0],t.shape[1],t.shape[2]));var a=e;return 3===a.rank&&(a=e.as4D(1,e.shape[0],e.shape[1],e.shape[2])),_t.runKernelFunc(function(t){return t.depthwiseConv2DDerFilter(o,a,r)},{x4D:o,dy4D:a})}}),Wc=In({separableConv2d_:function(t,e,n,r,o,a,i){void 0===a&&(a=[1,1]),void 0===i&&(i="NHWC");var s=dn(t,"x","separableConv2d"),u=dn(e,"depthwiseFilter","separableConv2d"),c=dn(n,"pointwiseFilter","separableConv2d"),l=s,p=!1;if(3===s.rank&&(p=!0,l=s.as4D(1,s.shape[0],s.shape[1],s.shape[2])),"NCHW"===i)throw new Error("separableConv2d currently does not support dataFormat NCHW; only NHWC is supported");b(4===l.rank,function(){return"Error in separableConv2d: input must be rank 4, but got rank "+l.rank+"."}),b(4===u.rank,function(){return"Error in separableConv2d: depthwise filter must be rank 4, but got rank "+u.rank+"."}),b(4===c.rank,function(){return"Error in separableConv2d: pointwise filter must be rank 4, but got rank "+u.rank+"."}),b(1===c.shape[0],function(){return"Error in separableConv2d: the first dimension of pointwise filter  must be 1, but got "+c.shape[0]+"."}),b(1===c.shape[1],function(){return"Error in separableConv2d: the second dimension of pointwise filter must be 1, but got "+c.shape[1]+"."});var h=u.shape[2],d=u.shape[3];b(c.shape[2]===h*d,function(){return"Error in separableConv2d: the third dimension of pointwise filter must be "+h*d+", but got "+c.shape[2]+"."});var f=Bc(l,u,r,o,i,a),v=Fc(f,c,1,"valid",i);return p?v.as3D(v.shape[1],v.shape[2],v.shape[3]):v}}),Uc=In({conv2dTranspose_:function(t,e,n,r,o,a){return Ac(n,dn(t,"x","conv2dTranspose"),dn(e,"filter","conv2dTranspose"),r,o,"NHWC",a)}}),zc=In({conv3dTranspose_:function(t,e,n,r,o){return Tc(n,dn(t,"x","conv3dTranspose"),dn(e,"filter","conv3dTranspose"),r,o)}});exports.conv3dTranspose=zc,exports.conv2dTranspose=Uc,exports.separableConv2d=Wc,exports.depthwiseConv2d=Bc,exports.conv3d=Oc,exports.conv2d=Fc,exports.conv1d=Nc;var Vc=In({matMul_:function(t,e,n,r){var o;void 0===n&&(n=!1),void 0===r&&(r=!1);var a=dn(t,"a","matMul"),i=dn(e,"b","matMul");o=St(a,i),a=o[0],i=o[1];var s=n?a.shape[a.rank-2]:a.shape[a.rank-1],u=r?i.shape[i.rank-1]:i.shape[i.rank-2],c=n?a.shape[a.rank-1]:a.shape[a.rank-2],l=r?i.shape[i.rank-2]:i.shape[i.rank-1],p=a.shape.slice(0,-2),h=i.shape.slice(0,-2),d=R(p),f=R(h);b(a.rank>=2&&i.rank>=2&&a.rank===i.rank,function(){return"Error in matMul: inputs must have the same rank of at least 2, got ranks "+a.rank+" and "+i.rank+"."}),b(I(p,h),function(){return"Error in matMul: outer dimensions ("+p+") and ("+h+") of Tensors with shapes "+a.shape+" and "+i.shape+" must match."}),b(s===u,function(){return"Error in matMul: inner shapes ("+s+") and ("+u+") of Tensors with shapes "+a.shape+" and "+i.shape+" and transposeA="+n+" and transposeB="+r+" must match."});var v=a.shape.slice(0,-2).concat([c,l]),m=n?a.as3D(d,s,c):a.as3D(d,c,s),g=r?i.as3D(f,l,u):i.as3D(f,u,l),x={transposeA:n,transposeB:r};return _t.runKernelFunc(function(t,e){var o=t.batchMatMul(m,g,n,r);return e([m,g]),o},{a:m,b:g},function(t,e){var o=e,a=o[0],i=o[1];return n||r?!n&&r?{a:function(){return t.matMul(i,!1,!1)},b:function(){return t.matMul(a,!0,!1)}}:n&&!r?{a:function(){return i.matMul(t,!1,!0)},b:function(){return a.matMul(t,!1,!1)}}:{a:function(){return i.matMul(t,!0,!0)},b:function(){return t.matMul(a,!0,!0)}}:{a:function(){return t.matMul(i,!1,!0)},b:function(){return a.matMul(t,!0,!1)}}},"BatchMatMul",x).reshape(v)}}),Gc=In({dot_:function(t,e){var n=dn(t,"t1","dot"),r=dn(e,"t2","dot");b(!(1!==n.rank&&2!==n.rank||1!==r.rank&&2!==r.rank),function(){return"Error in dot: inputs must all be rank 1 or 2, but got ranks "+n.rank+" and "+r.rank+"."});var o=1===n.rank?n.size:n.shape[1],a=1===r.rank?r.size:r.shape[0];return b(o===a,function(){return"Error in dot: inner dimensions of inputs must match, but got "+o+" and "+a+"."}),1===n.rank&&1===r.rank?n.as2D(1,-1).matMul(r.as2D(-1,1)).asScalar():1===n.rank&&2===r.rank?n.as2D(1,-1).matMul(r.as2D(r.shape[0],r.shape[1])).as1D():2===n.rank&&1===r.rank?n.matMul(r.as2D(-1,1)).as1D():n.matMul(r.as2D(r.shape[0],r.shape[1]))}}),Hc=In({outerProduct_:function(t,e){var n=dn(t,"v1","outerProduct"),r=dn(e,"v2","outerProduct");return b(1===n.rank&&1===r.rank,function(){return"Error in outerProduct: inputs must be rank 1, but got ranks "+n.rank+" and "+r.rank+"."}),n.as2D(-1,1).matMul(r.as2D(1,-1))}});exports.outerProduct=Hc,exports.dot=Gc,exports.matMul=Vc;var qc=In({reverse_:function(t,e){var n=dn(t,"x","reverse");if(0===n.rank)return n.clone();var r=F(e,n.shape);return _t.runKernelFunc(function(t){return t.reverse(n,r)},{$x:n},function(t){return{$x:function(){return t.reverse(r)}}}).reshapeAs(n)}}),Kc=In({reverse1d_:function(t){var e=dn(t,"x","reverse");return b(1===e.rank,function(){return"Error in reverse1D: x must be rank 1 but got rank "+e.rank+"."}),qc(e,0)}}),jc=In({reverse2d_:function(t,e){var n=dn(t,"x","reverse");return b(2===n.rank,function(){return"Error in reverse2D: x must be rank 2 but got rank "+n.rank+"."}),qc(n,e)}}),Xc=In({reverse3d_:function(t,e){var n=dn(t,"x","reverse");return b(3===n.rank,function(){return"Error in reverse3D: x must be rank 3 but got rank "+n.rank+"."}),qc(n,e)}}),$c=In({reverse4d_:function(t,e){var n=dn(t,"x","reverse");return b(4===n.rank,function(){return"Error in reverse4D: x must be rank 4 but got rank "+n.rank+"."}),qc(n,e)}});function Yc(t,e,n,r,o,a){var i=dn(t,"x","maxPool"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),null==r&&(r=[1,1]),b(4===s.rank,function(){return"Error in maxPool: input must be rank 4 but got rank "+s.rank+"."}),b(Ao(n,r),function(){return"Error in maxPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"}),null!=a&&b(k(o),function(){return"Error in maxPool: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+o+"."});var c=xo(s.shape,e,n,r,o,a),l=_t.runKernelFunc(function(t,e){var n=t.maxPool(s,c);return e([s,n]),n},{x:s},function(t,a){var i=a[0],s=a[1];return{x:function(){return function(t,e,n,r,o,a,i,s){var u=dn(t,"dy","maxPoolBackprop"),c=dn(e,"input","maxPoolBackprop"),l=dn(n,"output","maxPoolBackprop");b(c.rank===u.rank,function(){return"Rank of input ("+c.rank+") does not match rank of dy ("+u.rank+")"}),null==a&&(a=[1,1]),b(Ao(o,a),function(){return"Error in maxPoolBackProp: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+a+"'"}),b(4===u.rank,function(){return"Error in maxPoolBackprop: dy must be rank 4 but got rank "+u.rank+"."}),b(4===c.rank,function(){return"Error in maxPoolBackprop: input must be rank 4 but got rank "+c.rank+"."});var p=xo(c.shape,r,o,a,i,s);return _t.runKernelFunc(function(t){return t.maxPoolBackprop(u,c,l,p)},{$dy:u,$input:c})}(t,i,s,e,n,r,o)}}});return u?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l}function Qc(t,e,n,r,o,a){var i=dn(t,"x","avgPool","float32");null==r&&(r=[1,1]),b(Ao(n,r),function(){return"Error in avgPool: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+r+"'"});var s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),b(4===s.rank,function(){return"Error in avgPool: x must be rank 4 but got rank "+s.rank+"."}),null!=a&&b(k(o),function(){return"Error in avgPool: pad must be an integer when using, dimRoundingMode "+a+" but got pad "+o+"."});var c=xo(s.shape,e,n,r,o,a),l=_t.runKernelFunc(function(t){return t.avgPool(s,c)},{x:s},function(t){return{x:function(){return function(t,e,n,r,o,a){var i=dn(t,"dy","avgPoolBackprop"),s=dn(e,"input","avgPoolBackprop");b(s.rank===i.rank,function(){return"Rank of input ("+s.rank+") does not match rank of dy ("+i.rank+")"}),null==o&&(o=[1,1]),b(Ao(r,o),function(){return"Error in avgPoolBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+o+"'"});var u=s,c=i,l=!1;3===s.rank&&(l=!0,u=s.as4D(1,s.shape[0],s.shape[1],s.shape[2]),c=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),b(4===c.rank,function(){return"Error in avgPoolBackprop: dy must be rank 4 but got rank "+c.rank+"."}),b(4===u.rank,function(){return"Error in avgPoolBackprop: input must be rank 4 but got rank "+u.rank+"."});var p=xo(u.shape,n,r,o,a),h=_t.runKernelFunc(function(t){return t.avgPoolBackprop(c,u,p)},{dy4D:c,input4D:u});return l?h.as3D(h.shape[1],h.shape[2],h.shape[3]):h}(t,s,e,n,r,o)}}});return l=l.cast(i.dtype),u?l.as3D(l.shape[1],l.shape[2],l.shape[3]):l}exports.reverse4d=$c,exports.reverse3d=Xc,exports.reverse2d=jc,exports.reverse1d=Kc,exports.reverse=qc;var Jc=In({maxPool_:function(t,e,n,r,o){return Yc(t,e,n,1,r,o)}}),Zc=In({avgPool_:function(t,e,n,r,o){return Qc(t,e,n,1,r,o)}}),tl=In({pool_:function(t,e,n,r,o,a){null==o&&(o=[1,1]),null==a&&(a=1),0===r&&(r="valid");var i=dn(t,"x","maxPool"),s=i,u=!1;3===i.rank&&(u=!0,s=i.as4D(1,i.shape[0],i.shape[1],i.shape[2])),b(Ao(a,o),function(){return"Error in pool: Either strides or dilations must be 1. Got strides "+a+" and dilations '"+o+"'"});var c,l=xo(s.shape,e,a,o,r),p=[l.dilationHeight,l.dilationWidth];c="same"===r?function(t,e){var n=t.map(function(t,n){return t+(t-1)*(e[n]-1)}).map(function(t){return t-1}),r=n.map(function(t){return Math.floor(t/2)}),o=n.map(function(t,e){return t-r[e]});return n.map(function(t,e){return[r[e],o[e]]})}([l.filterHeight,l.filterWidth],p):[[0,0],[0,0]];var h=1===p[0]&&1===p[1],d=function(t,e,n){var r=n.map(function(t){return t[0]}),o=n.map(function(t){return t[1]}),a=t.concat(r,o),i=e.map(function(t,e){return(t-a[e]%t)%t}),s=o.map(function(t,e){return t+i[e]});return[e.map(function(t,e){return[r[e],s[e]]}),e.map(function(t,e){return[0,i[e]]})]}([l.inHeight,l.inWidth],p,c),f=d[0],v=d[1],m=h?r:"valid",g=h?s:Nr(s,p,f),x=("avg"===n?function(){return Qc(g,e,a,1,m)}:function(){return Yc(g,e,a,1,m)})(),y=h?x:hr(x,p,v);return u?y.as3D(y.shape[1],y.shape[2],y.shape[3]):y}}),el=In({maxPool3d_:function(t,e,n,r,o,a,i){void 0===a&&(a="NDHWC");var s=dn(t,"x","maxPool3d"),u=s,c=!1;4===s.rank&&(c=!0,u=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3])),null==i&&(i=[1,1,1]),b(5===u.rank,function(){return"Error in maxPool3d: x must be rank 5 but got rank "+u.rank+"."}),b("NDHWC"===a,function(){return"Error in maxPool3d: Only NDHWC is currently supported, but got dataFormat of "+a}),b(Ao(n,i),function(){return"Error in maxPool3d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}),null!=o&&b(k(r),function(){return"Error in maxPool3d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."});var l=yo(u.shape,e,n,i,r,o,a),p=_t.runKernelFunc(function(t,e){var n=t.maxPool3d(u,l);return e([u,n]),n},{x:u},function(t,a){var s=a[0],u=a[1];return{x:function(){return function(t,e,n,r,o,a,i,s){var u=dn(t,"dy","maxPool3dBackprop"),c=dn(e,"input","maxPool3dBackprop"),l=dn(n,"output","maxPool3dBackprop"),p=u,h=c,d=l,f=!1;4===c.rank&&(f=!0,p=u.as5D(1,u.shape[0],u.shape[1],u.shape[2],u.shape[3]),h=c.as5D(1,c.shape[0],c.shape[1],c.shape[2],c.shape[3]),d=l.as5D(1,l.shape[0],l.shape[1],l.shape[2],l.shape[3])),b(5===p.rank,function(){return"Error in maxPool3dBackprop: dy must be rank 5 but got rank "+p.rank+"."}),b(5===h.rank,function(){return"Error in maxPool3dBackprop: input must be rank 5 but got rank "+h.rank+"."}),b(5===d.rank,function(){return"Error in maxPool3dBackprop: output must be rank 5 but got rank "+d.rank+"."}),null==a&&(a=[1,1,1]),b(Ao(o,a),function(){return"Error in maxPool3dBackprop: Either strides or dilations must be 1. Got strides "+o+" and dilations '"+a+"'"}),null!=s&&b(k(i),function(){return"Error in maxPool3dBackprop: pad must be an integer when using, dimRoundingMode "+s+" but got pad "+i+"."});var v=yo(h.shape,r,o,a,i,s),m=_t.runKernelFunc(function(t){return t.maxPool3dBackprop(p,h,d,v)},{dy5D:p,input5D:h});return f?m.as4D(m.shape[1],m.shape[2],m.shape[3],m.shape[4]):m}(t,s,u,e,n,i,r,o)}}});return c?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}}),nl=In({avgPool3d_:function(t,e,n,r,o,a,i){void 0===a&&(a="NDHWC");var s=dn(t,"x","avgPool3d","float32"),u=s,c=!1;4===s.rank&&(c=!0,u=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3])),null==i&&(i=[1,1,1]),b(5===u.rank,function(){return"Error in avgPool3d: x must be rank 5 but got rank "+u.rank+"."}),b("NDHWC"===a,function(){return"Error in avgPool3d: Only NDHWC is currently supported, but got dataFormat of "+a}),b(Ao(n,i),function(){return"Error in avgPool3d: Either strides or dilations must be 1. Got strides "+n+" and dilations '"+i+"'"}),null!=o&&b(k(r),function(){return"Error in avgPool3d: pad must be an integer when using, dimRoundingMode "+o+" but got pad "+r+"."});var l=yo(u.shape,e,n,i,r,o,a),p=_t.runKernelFunc(function(t){return t.avgPool3d(u,l)},{x:u},function(t){return{x:function(){return function(t,e,n,r,o,a,i){var s=dn(t,"dy","avgPool3dBackprop"),u=dn(e,"input","avgPool3dBackprop"),c=s,l=u,p=!1;4===u.rank&&(p=!0,c=s.as5D(1,s.shape[0],s.shape[1],s.shape[2],s.shape[3]),l=u.as5D(1,u.shape[0],u.shape[1],u.shape[2],u.shape[3])),b(5===c.rank,function(){return"Error in avgPool3dBackprop: dy must be rank 5 but got rank "+c.rank+"."}),b(5===l.rank,function(){return"Error in avgPool3dBackprop: input must be rank 5 but got rank "+l.rank+"."}),null==o&&(o=[1,1,1]),b(Ao(r,o),function(){return"Error in avgPool3dBackprop: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+o+"'"}),null!=i&&b(k(a),function(){return"Error in maxPool3dBackprop: pad must be an integer when using, dimRoundingMode "+i+" but got pad "+a+"."});var h=yo(l.shape,n,r,o,a,i),d=_t.runKernelFunc(function(t){return t.avgPool3dBackprop(c,l,h)},{dy5D:c,input5D:l});return p?d.as4D(d.shape[1],d.shape[2],d.shape[3],d.shape[4]):d}(t,u,e,n,i,r,o)}}});return p=p.cast(u.dtype),c?p.as4D(p.shape[1],p.shape[2],p.shape[3],p.shape[4]):p}});exports.avgPool3d=nl,exports.maxPool3d=el,exports.pool=tl,exports.avgPool=Zc,exports.maxPool=Jc;var rl=In({slice_:function(t,e,n){var r,o,a=dn(t,"x","slice");if(0===a.rank)throw new Error("Slicing scalar is not possible");(r="number"==typeof e?[e].concat(new Array(a.rank-1).fill(0)):e.length<a.rank?e.concat(new Array(a.rank-e.length).fill(0)):e.slice()).forEach(function(t){b(-1!==t,function(){return"slice() does not support negative begin indexing."})}),o=(o=null==n?new Array(a.rank).fill(-1):"number"==typeof n?[n].concat(new Array(a.rank-1).fill(-1)):n.length<a.rank?n.concat(new Array(a.rank-n.length).fill(-1)):n).map(function(t,e){return t>=0?t:(b(-1===t,function(){return"Negative size values should be exactly -1 but got "+t+" for the slice() size at index "+e+"."}),a.shape[e]-r[e])}),Xr(a,r,o);var i=a.shape,s={begin:r,size:o};return _t.runKernelFunc(function(t){return t.slice(a,r,o)},{x:a},function(t){for(var e=[],n=0;n<t.rank;n++)e.push([r[n],i[n]-r[n]-o[n]]);return{x:function(){return t.pad(e)}}},"Slice",s)}}),ol=In({slice1d_:function(t,e,n){var r=dn(t,"x","slice1d");return b(1===r.rank,function(){return"slice1d expects a rank-1 tensor, but got a rank-"+r.rank+" tensor"}),rl(r,[e],[n])}}),al=In({slice2d_:function(t,e,n){var r=dn(t,"x","slice2d");return b(2===r.rank,function(){return"slice2d expects a rank-2 tensor, but got a rank-"+r.rank+" tensor"}),rl(r,e,n)}}),il=In({slice3d_:function(t,e,n){var r=dn(t,"x","slice3d");return b(3===r.rank,function(){return"slice3d expects a rank-3 tensor, but got a rank-"+r.rank+" tensor"}),rl(r,e,n)}}),sl=In({slice4d_:function(t,e,n){var r=dn(t,"x","slice4d");return b(4===r.rank,function(){return"slice4d expects a rank-4 tensor, but got a rank-"+r.rank+" tensor"}),rl(r,e,n)}});function ul(t,e,n,r,o){return e.rank<n.rank&&(e=e.reshape(xn(e.shape,r))),t.rank<n.rank&&(t=t.reshape(xn(t.shape,r))),{$x:function(){var r=t.mul(n.equal(e).cast(t.dtype));return null==o?r:r.transpose(o)}}}exports.slice4d=sl,exports.slice3d=il,exports.slice2d=al,exports.slice1d=ol,exports.slice=rl;var cl=In({all_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=dn(t,"x","all","bool"),o=F(e,r.shape),a=o,i=bn(a,r.rank);null!=i&&(r=r.transpose(i),a=Cn(a.length,r.rank));var s=_t.runKernelFunc(function(t){return t.all(r,a)},{$x:r});if(n){var u=xn(s.shape,o);return s.reshape(u)}return s}}),ll=In({any_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=dn(t,"x","any","bool"),o=F(e,r.shape),a=o,i=bn(a,r.rank);null!=i&&(r=r.transpose(i),a=Cn(a.length,r.rank));var s=_t.runKernelFunc(function(t){return t.any(r,a)},{$x:r});if(n){var u=xn(s.shape,o);return s.reshape(u)}return s}}),pl=In({argMax_:function(t,e){void 0===e&&(e=0);var n=dn(t,"x","argMax");null==e&&(e=0);var r=F(e,n.shape),o=bn(r,n.rank);return null!=o&&(n=n.transpose(o),r=Cn(r.length,n.rank)),_t.runKernelFunc(function(t,e){var o=t.argMax(n,r[0]);return e([n]),o},{$x:n},function(t,e){var n=e[0];return{$x:function(){return qn(n)}}})}}),hl=In({argMin_:function(t,e){void 0===e&&(e=0);var n=dn(t,"x","argMin");null==e&&(e=0);var r=F(e,n.shape),o=bn(r,n.rank);return null!=o&&(n=n.transpose(o),r=Cn(r.length,n.rank)),_t.runKernelFunc(function(t,e){var o=t.argMin(n,r[0]);return e([n]),o},{$x:n},function(t,e){var n=e[0];return{$x:function(){return qn(n)}}})}}),dl=In({logSumExp_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=dn(t,"x","logSumExp"),o=F(e,r.shape),a=r.max(o,!0),i=r.sub(a).exp().sum(o).log(),s=a.reshape(i.shape).add(i);if(n){var u=xn(s.shape,o);return s.reshape(u)}return s}}),fl=In({max_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=dn(t,"x","max"),o=r,a=F(e,r.shape),i=a,s=bn(i,r.rank);null!=s&&(r=r.transpose(s),i=Cn(i.length,r.rank));var u=_t.runKernelFunc(function(t,e){var n=t.max(r,i);return e([o,n]),n},{$x:r},function(t,e){return ul(t,e[1],e[0],a,s)});if(n){var c=xn(u.shape,a);u=u.reshape(c)}return u}}),vl=In({mean_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=dn(t,"x","mean"),o=F(e,r.shape),a=R(gn(r.shape,o)[1]);return so(function(t){var r=Nn(a);return{value:(r.dtype===t.dtype?t:t.cast(r.dtype)).div(r).sum(e,n),gradFunc:function(e){var n=t.shape.slice();return o.forEach(function(t){n[t]=1}),e.reshape(n).mul(Wn(t.shape,"float32")).div(a)}}})(r)}}),ml=In({min_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=dn(t,"x","min"),o=r,a=F(e,r.shape),i=a,s=bn(i,r.rank);null!=s&&(r=r.transpose(s),i=Cn(i.length,r.rank));var u=_t.runKernelFunc(function(t,e){var n=t.min(r,i);return e([o,n]),n},{$x:r},function(t,e){return ul(t,e[1],e[0],a,s)});if(n){var c=xn(u.shape,a);u=u.reshape(c)}return u}}),gl=In({moments_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=F(e,(t=dn(t,"x","moments")).shape),o=t.mean(r,n),a=o.shape;n||(a=xn(o.shape,r));var i=t.toFloat().sub(o.reshape(a)).square();return{mean:o,variance:i.mean(r,n)}}}),xl=In({sum_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=dn(t,"x","sum");"bool"===r.dtype&&(r=r.toInt());var o=F(e,r.shape);return so(function(t){var e=bn(o,t.rank),r=o,a=t;null!=e&&(a=t.transpose(e),r=Cn(r.length,t.rank));var i=_t.runKernelFunc(function(t){return t.sum(a,r)},{permutedX:a});if(n){var s=xn(i.shape,o);i=i.reshape(s)}return{value:i,gradFunc:function(e){var n=t.shape.slice();return o.forEach(function(t){n[t]=1}),e.reshape(n).mul(Wn(t.shape,"float32"))}}})(r)}}),yl=In({prod_:function(t,e,n){void 0===e&&(e=null),void 0===n&&(n=!1);var r=dn(t,"x","prod");"bool"===r.dtype&&(r=r.toInt());var o=F(e,r.shape),a=bn(o,r.rank),i=o,s=r;null!=a&&(s=r.transpose(a),i=Cn(i.length,r.rank));var u=_t.runKernelFunc(function(t){return t.prod(s,i)},{permutedX:s});if(n){var c=xn(u.shape,o);u=u.reshape(c)}return u}});exports.prod=yl,exports.sum=xl,exports.moments=gl,exports.min=ml,exports.mean=vl,exports.max=fl,exports.logSumExp=dl,exports.argMin=hl,exports.argMax=pl,exports.any=ll,exports.all=cl;var bl=In({elu_:function(t){var e=dn(t,"x","elu");return _t.runKernelFunc(function(t,n){var r=t.elu(e);return n([r]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return _t.runKernelFunc(function(e){return e.eluDer(t,n)},{dy:t,y:n})}}})}}),wl=In({leakyRelu_:function(t,e){void 0===e&&(e=.2);var n=dn(t,"x","leakyRelu");return Qu(Nn(e).mul(n),n)}}),Cl=In({prelu_:function(t,e){var n=dn(t,"x","prelu"),r=dn(e,"alpha","prelu");return _t.runKernelFunc(function(t,e){var o=t.prelu(n,r);return e([n,r]),o},{x:n,alpha:r},function(t,e){var n=e[0],r=e[1],o=n.greater(0);return{x:function(){return Vu(o,t,t.mul(r))},alpha:function(){var e=Vu(o,qn(t),t.mul(n)),a=mo(r.shape,t.shape);return a.length>0&&(e=e.sum(a)),e.reshape(r.shape)}}},"Prelu")}}),El=In({relu_:function(t){var e=dn(t,"x","relu");return"bool"===e.dtype?e.toInt():_t.runKernelFunc(function(t,n){var r=t.relu(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){return t.mulStrict(n.step().toFloat())}}})}}),Rl=In({relu6_:function(t){var e=dn(t,"x","relu6");return"bool"===e.dtype?e.toInt():_t.runKernelFunc(function(t,n){var r=t.relu6(e);return n([e]),r},{$x:e},function(t,e){var n=e[0],r=n.lessEqual(6).mul(n.step());return{$x:function(){return t.mulStrict(r.toFloat())}}})}}),Il=In({selu_:function(t){var e=dn(t,"x","selu");return _t.runKernelFunc(function(t,n){var r=t.selu(e);return n([e]),r},{$x:e},function(t,e){var n=e[0];return{$x:function(){var e=n.greater(Nn(0)),r=Nn(cs),o=Nn(ls),a=t.mul(o),i=t.mul(r).mul(n.toFloat().exp());return Vu(e,a,i)}}})}});exports.selu=Il,exports.relu6=Rl,exports.relu=El,exports.prelu=Cl,exports.leakyRelu=wl,exports.elu=bl;var kl=In({transpose_:function(t,e){var n=dn(t,"x","transpose");return null==e&&(e=n.shape.map(function(t,e){return e}).reverse()),b(n.rank===e.length,function(){return"Error in transpose: rank of input "+n.rank+" must match length of perm "+e+"."}),e.forEach(function(t){b(t>=0&&t<n.rank,function(){return"All entries in 'perm' must be between 0 and "+(n.rank-1)+" but got "+e})}),n.rank<=1?n.clone():_t.runKernelFunc(function(t){return t.transpose(n,e)},{$x:n},function(t){var n=wn(e);return{$x:function(){return t.transpose(n)}}})}});exports.transpose=kl;var Sl=In({localResponseNormalization_:function(t,e,n,r,o){void 0===e&&(e=5),void 0===n&&(n=1),void 0===r&&(r=1),void 0===o&&(o=.5);var a=dn(t,"x","localResponseNormalization");b(4===a.rank||3===a.rank,function(){return"Error in localResponseNormalization: x must be rank 3 or 4 but got\n               rank "+a.rank+"."}),b(k(e),function(){return"Error in localResponseNormalization: depthRadius must be an integer but got depthRadius "+e+"."});var i=a,s=!1;3===a.rank&&(s=!0,i=a.as4D(1,a.shape[0],a.shape[1],a.shape[2]));var u=_t.runKernelFunc(function(t,a){var s=t.localResponseNormalization4D(i,e,n,r,o);return a([i,s]),s},{x4D:i},function(t,a){var i=a[0],s=a[1];return{x4D:function(){return _t.runKernelFunc(function(a){return a.LRNGrad(t,i,s,e,n,r,o)},{})}}});return s?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}});exports.localResponseNormalization=Sl;var Al=In({norm_:function(t,e,n,r){void 0===e&&(e="euclidean"),void 0===n&&(n=null),void 0===r&&(r=!1);var o=function t(e,n,r){if(void 0===r&&(r=null),0===e.rank)return e.abs();if(1!==e.rank&&null===r)return t(e.reshape([-1]),n,r);if(1===e.rank||"number"==typeof r||Array.isArray(r)&&1===r.length){if(1===n)return e.abs().sum(r);if(n===1/0)return e.abs().max(r);if(n===-1/0)return e.abs().min(r);if("euclidean"===n||2===n)return e.abs().pow(Nn(2,"int32")).sum(r).sqrt();throw new Error("Error in norm: invalid ord value: "+n)}if(Array.isArray(r)&&2===r.length){if(1===n)return e.abs().sum(r[0]).max(r[1]-1);if(n===1/0)return e.abs().sum(r[1]).max(r[0]);if(n===-1/0)return e.abs().sum(r[1]).min(r[0]);if("fro"===n||"euclidean"===n)return e.square().sum(r).sqrt();throw new Error("Error in norm: invalid ord value: "+n)}throw new Error("Error in norm: invalid axis: "+r)}(t=dn(t,"x","norm"),e,n),a=o.shape;if(r){var i=F(n,t.shape);a=xn(o.shape,i)}return o.reshape(a)}});exports.norm=Al;var Dl=In({basicLSTMCell_:function(t,e,n,r,o,a){var i=dn(t,"forgetBias","basicLSTMCell"),s=dn(e,"lstmKernel","basicLSTMCell"),u=dn(n,"lstmBias","basicLSTMCell"),c=dn(r,"data","basicLSTMCell"),l=dn(o,"c","basicLSTMCell"),p=dn(a,"h","basicLSTMCell"),h=c.concat(p,1).matMul(s).add(u),d=h.shape[0],f=h.shape[1]/4,v=[d,f],m=h.slice([0,0],v),g=h.slice([0,f],v),x=h.slice([0,2*f],v),y=h.slice([0,3*f],v),b=m.sigmoid().mulStrict(g.tanh()).addStrict(l.mulStrict(i.add(x).sigmoid())),w=b.tanh().mulStrict(y.sigmoid());return[b,w]}}),Tl=In({multiRNNCell_:function(t,e,n,r){for(var o=dn(e,"data","multiRNNCell"),a=fn(n,"c","multiRNNCell"),i=fn(r,"h","multiRNNCell"),s=o,u=[],c=0;c<t.length;c++){var l=t[c](s,a[c],i[c]);u.push(l[0]),u.push(l[1]),s=l[1]}var p=[],h=[];for(c=0;c<u.length;c+=2)p.push(u[c]),h.push(u[c+1]);return[p,h]}});exports.multiRNNCell=Tl,exports.basicLSTMCell=Dl;var Nl=In({movingAverage_:function(t,e,n,r,o){void 0===o&&(o=!0);var a=dn(t,"v","movingAverage"),i=dn(e,"x","movingAverage"),s=dn(n,"decay","movingAverage");At(a,i),b(I(a.shape,i.shape),function(){return"Shape mismatch in v and x"});var u=Nn(1),c=u.sub(s),l=i.sub(a).mul(c);if(o){b(null!=r,function(){return"When using zeroDebias: true, step is required."});var p=dn(r,"step","movingAverage");l=l.div(u.sub(ac(s,p)))}return a.add(l)}});exports.movingAverage=Nl;var Fl=In({stridedSlice_:function(t,e,n,r,o,a,i,s,u){if(void 0===o&&(o=0),void 0===a&&(a=0),void 0===i&&(i=0),void 0===s&&(s=0),void 0===u&&(u=0),null==r&&(r=new Array(e.length)),0!==i)throw new Error("ellipsis mask is not yet supported");var c=dn(t,"x","stridedSlice"),l=$r(s),p=c.shape.slice();l.forEach(function(t){e[t]=0,n[t]=1,p.splice(t,0,1)}),c=c.reshape(p);for(var h=0;h<c.rank;h++)e[h]=Qr(o,e,r,c.shape,h),n[h]=Jr(a,n,r,c.shape,h),r[h]=r[h]||1;var d=$r(u);d.forEach(function(t){n[t]=e[t]+1,r[t]=1});var f=Yr(e,n,r),v=f.filter(function(t,e){return-1===d.indexOf(e)});return r.every(function(t){return 1===t})?rl(c,e,f).reshape(v):_t.runKernelFunc(function(t){return t.stridedSlice(c,e,n,r)},{$x:c}).reshape(v)}});exports.stridedSlice=Fl;var Ol=In({topk_:function(t,e,n){void 0===e&&(e=1),void 0===n&&(n=!0);var r=dn(t,"x","topk");if(0===r.rank)throw new Error("topk() expects the input to be of rank 1 or higher");var o=r.shape[r.shape.length-1];if(e>o)throw new Error("'k' passed to topk() must be <= the last dimension ("+o+") but got "+e);var a=_t.runKernelFunc(function(t){return t.topk(r,e,n)},{$x:r});return{values:a[0],indices:a[1]}}});exports.topk=Ol;var _l=In({scatterND_:function(t,e,n){var r=dn(t,"indices","scatterND","int32"),o=dn(e,"updates","scatterND");return Kr(o,r,n),_t.runKernelFunc(function(t){return t.scatterND(r,o,n)},{$indices:r,$updates:o})}});exports.scatterND=_l;var Ml=In({fft_:function(t){b("complex64"===t.dtype,function(){return"The dtype for tf.spectral.fft() must be complex64 but got "+t.dtype+"."});var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return _t.runKernelFunc(function(t){return t.fft(r)},{input:t}).reshape(t.shape)}}),Bl=In({ifft_:function(t){b("complex64"===t.dtype,function(){return"The dtype for tf.spectral.ifft() must be complex64 but got "+t.dtype+"."});var e=t.shape[t.shape.length-1],n=t.size/e,r=t.as2D(n,e);return _t.runKernelFunc(function(t){return t.ifft(r)},{input:t}).reshape(t.shape)}}),Pl=In({rfft_:function(t,e){b("float32"===t.dtype,function(){return"The dtype for rfft() must be real value but got "+t.dtype});var n,r=t.shape[t.shape.length-1],o=t.size/r;if(null!=e&&e<r){var a=t.shape.map(function(t){return 0}),i=t.shape.map(function(t){return t});i[t.shape.length-1]=e,n=t.slice(a,i),r=e}else if(null!=e&&e>r){var s=t.shape.map(function(t){return t});s[t.shape.length-1]=e-r,n=t.concat(Un(s),t.shape.length-1),r=e}else n=t;var u=n.zerosLike(),c=kn(n,u).as2D(o,r),l=Ml(c),p=Math.floor(r/2)+1,h=Sn(l),d=An(l),f=h.split([p,r-p],h.shape.length-1),v=d.split([p,r-p],d.shape.length-1),m=n.shape.slice();return m[n.shape.length-1]=p,kn(f[0],v[0]).reshape(m)}}),Ll=In({irfft_:function(t){var e=t.shape[t.shape.length-1],n=t.size/e;if(e<=2){var r=t.as2D(n,e),o=Bl(r);return Sn(o)}var a=[n,2*(e-1)],i=Sn(t).as2D(n,e),s=An(t).as2D(n,e),u=i.slice([0,1],[n,e-2]).reverse(1),c=s.slice([0,1],[n,e-2]).reverse(1).mul(Nn(-1)),l=i.concat(u,1),p=s.concat(c,1);return r=kn(l,p).as2D(a[0],a[1]),o=Bl(r),Sn(o)}}),Wl=Object.freeze({fft:Ml,ifft:Bl,rfft:Pl,irfft:Ll});exports.spectral=Wl,exports.irfft=Ll,exports.rfft=Pl,exports.ifft=Bl,exports.fft=Ml;var Ul=In({sparseToDense_:function(t,e,n,r){void 0===r&&(r=0);var o=dn(t,"sparseIndices","sparseToDense","int32"),a=dn(e,"sparseValues","sparseToDense"),i=dn(r,"defaultValue","sparseToDense",a.dtype);return function(t,e,n,r){if("int32"!==t.dtype)throw new Error("tf.sparseToDense() expects the indices to be int32 type, but the dtype was "+t.dtype+".");if(t.rank>2)throw new Error("sparseIndices should be a scalar, vector, or matrix, but got shape "+t.shape+".");var o=t.rank>0?t.shape[0]:1,a=t.rank>1?t.shape[1]:1;if(n.length!==a)throw new Error("outputShape has incorrect number of elements:, "+n.length+", should be: "+a+".");var i=e.size;if(0!==e.rank&&(1!==e.rank||i!==o))throw new Error("sparseValues has incorrect shape "+e.shape+", should be [] or ["+o+"]");if(e.dtype!==r.dtype)throw new Error("sparseValues.dtype must match defaultValues.dtype")}(o,a,n,i),_t.runKernelFunc(function(t){return t.sparseToDense(o,a,n,i)},{$sparseIndices:o,$sparseValues:a,$defaultValue:i})}});exports.sparseToDense=Ul;var zl=In({gatherND_:function(t,e){var n=dn(e,"indices","gatherND","int32"),r=dn(t,"x","gatherND");return _t.runKernelFunc(function(t){return t.gatherND(r,n)},{$x:r,$indices:n})}});exports.gatherND=zl;var Vl=In({diag_:function(t){var e=dn(t,"x","diag").flatten(),n=t.shape.concat(t.shape);return _t.runKernelFunc(function(t){return t.diag(e)},{$x:e}).reshape(n)}});exports.diag=Vl;var Gl=In({dropout_:function(t,e,n,r){var o=dn(t,"x","dropout");if(b("float32"===o.dtype,function(){return"x has to be a floating point tensor since it's going to be scaled, but got a "+o.dtype+" tensor instead."}),b(e>=0&&e<1,function(){return"rate must be a float in the range [0, 1), but got "+e+"."}),0===e)return t instanceof gt?o.clone():o;var a=function(t,e){if(null==e)return t.shape.slice();if(I(t.shape,e))return e;if(t.shape.length===e.length){for(var n=[],r=0;r<t.shape.length;r++)null==e[r]&&null!=t.shape[r]?n.push(t.shape[r]):n.push(e[r]);return n}return e}(o,n),i=1-e,s=Dr(a,0,1,"float32",r).add(i).floor().div(i);return o.mul(s)}});function Hl(t,e,n){for(var r=1-t%2,o=new Float32Array(t),a=0;a<t;++a){var i=2*Math.PI*a/(t+r-1);o[a]=e-n*Math.cos(i)}return Fn(o,"float32")}exports.dropout=Gl;var ql=In({hannWindow_:function(t){return Hl(t,.5,.5)}}),Kl=In({hammingWindow_:function(t){return Hl(t,.54,.46)}}),jl=In({frame_:function(t,e,n,r,o){void 0===r&&(r=!1),void 0===o&&(o=0);for(var a=0,i=[];a+e<=t.size;)i.push(rl(t,a,e)),a+=n;if(r)for(;a<t.size;){var s=a+e-t.size,u=Kn([rl(t,a,e-s),zn([s],o)]);i.push(u),a+=n}return 0===i.length?On([],[0,e]):Kn(i).as2D(i.length,e)}}),Xl=In({stft_:function(t,e,n,r,o){var a;void 0===o&&(o=ql),null==r&&(a=e,r=Math.floor(Math.pow(2,Math.ceil(Math.log(a)/Math.log(2)))));for(var i=jl(t,e,n),s=rc(i,o(e)),u=[],c=0;c<i.shape[0];c++)u.push(Pl(s.slice([c,0],[1,e]),r));return Kn(u)}}),$l=Object.freeze({hannWindow:ql,hammingWindow:Kl,frame:jl,stft:Xl});exports.signal=$l,exports.stft=Xl,exports.frame=jl,exports.hammingWindow=Kl,exports.hannWindow=ql;var Yl,Ql=function(t,e,n){return void 0===n&&(n=1),a(this,void 0,void 0,function(){var r,o,a,s,u,c,l,p,h,d,f,v,m,g;return i(this,function(i){switch(i.label){case 0:return r=dn(t,"predictions","inTopK"),o=dn(e,"targets","inTopK"),b(r.rank>1,function(){return"inTopK() expects the predictions to be of rank 2 or higher, but got "+r.rank}),b(r.rank-1===o.rank,function(){return"predictions rank should be 1 larger than targets rank, but got predictions rank "+r.rank+" and targets rank "+o.rank}),w(r.shape.slice(0,r.shape.length-1),o.shape,"predictions's shape should be align with the targets' shape, except the last dimension."),a=r.shape[r.shape.length-1],b(n>0&&n<=a,function(){return"'k' passed to inTopK() must be > 0 && <= the predictions last dimension ("+a+"), but got "+n}),[4,r.data()];case 1:return s=i.sent(),[4,o.data()];case 2:for(u=i.sent(),c=[s.length/a,a],p=c[1],h=_("bool",l=c[0]),d=0;d<l;d++){for(f=d*p,v=s.subarray(f,f+p),m=[],g=0;g<v.length;g++)m.push({value:v[g],index:g});for(m.sort(function(t,e){return e.value-t.value}),h[d]=0,g=0;g<n;g++)if(m[g].index===u[d]){h[d]=1;break}}return t!==r&&r.dispose(),e!==o&&o.dispose(),[2,Dn(h,o.shape,"bool")]}})})};exports.inTopKAsync=Ql,exports.Reduction=Yl,function(t){t[t.NONE=0]="NONE",t[t.MEAN=1]="MEAN",t[t.SUM=2]="SUM",t[t.SUM_BY_NONZERO_WEIGHTS=3]="SUM_BY_NONZERO_WEIGHTS"}(Yl||(exports.Reduction=Yl={}));var Jl=In({absoluteDifference_:function(t,e,n,r){void 0===r&&(r=Yl.SUM_BY_NONZERO_WEIGHTS);var o=dn(t,"labels","absoluteDifference"),a=dn(e,"predictions","absoluteDifference"),i=null;null!=n&&(i=dn(n,"weights","absoluteDifference")),w(o.shape,a.shape,"Error in absoluteDifference: ");var s=o.sub(a).abs();return Zl(s,i,r)}}),Zl=In({computeWeightedLoss_:function(t,e,n){void 0===n&&(n=Yl.SUM_BY_NONZERO_WEIGHTS);var r=dn(t,"losses","computeWeightedLoss"),o=null;null!=e&&(o=dn(e,"weights","computeWeightedLoss"));var a=null==o?r:r.mul(o);if(n===Yl.NONE)return a;if(n===Yl.SUM)return a.sum();if(n===Yl.MEAN){if(null==o)return a.mean();var i=r.size/o.size,s=a.sum().div(o.sum());return i>1?s.div(Nn(i)):s}if(n===Yl.SUM_BY_NONZERO_WEIGHTS){if(null==o)return a.sum().div(Nn(r.size));var u=o.mul(Wn(r.shape)).notEqual(Nn(0)).sum().toFloat();return a.sum().div(u)}throw Error("Unknown reduction: "+n)}}),tp=In({cosineDistance_:function(t,e,n,r,o){void 0===o&&(o=Yl.SUM_BY_NONZERO_WEIGHTS);var a=dn(t,"labels","cosineDistance"),i=dn(e,"predictions","cosineDistance"),s=null;null!=r&&(s=dn(r,"weights","cosineDistance")),w(a.shape,i.shape,"Error in cosineDistance: ");var u=Nn(1).sub(a.mul(i).sum(n,!0));return Zl(u,s,o)}}),ep=In({hingeLoss_:function(t,e,n,r){void 0===r&&(r=Yl.SUM_BY_NONZERO_WEIGHTS);var o=dn(t,"labels","hingeLoss"),a=dn(e,"predictions","hingeLoss"),i=null;null!=n&&(i=dn(n,"weights","hingeLoss")),w(o.shape,a.shape,"Error in hingeLoss: ");var s=Nn(1);o=Nn(2).mul(o).sub(s);var u=s.sub(o.mul(a)).relu();return Zl(u,i,r)}}),np=In({huberLoss_:function(t,e,n,r,o){void 0===r&&(r=1),void 0===o&&(o=Yl.SUM_BY_NONZERO_WEIGHTS);var a=dn(t,"labels","huberLoss"),i=dn(e,"predictions","huberLoss"),s=null;null!=n&&(s=dn(n,"weights","huberLoss")),w(a.shape,i.shape,"Error in huberLoss: ");var u=Nn(r),c=i.sub(a).abs(),l=Zu(c,u),p=c.sub(l),h=Nn(.5).mul(l.square()).add(u.mul(p));return Zl(h,s,o)}}),rp=In({logLoss_:function(t,e,n,r,o){void 0===r&&(r=1e-7),void 0===o&&(o=Yl.SUM_BY_NONZERO_WEIGHTS);var a=dn(t,"labels","logLoss"),i=dn(e,"predictions","logLoss"),s=null;null!=n&&(s=dn(n,"weights","logLoss")),w(a.shape,i.shape,"Error in logLoss: ");var u=Nn(1),c=Nn(r),l=a.mul(i.add(c).log()).neg().sub(u.sub(a).mul(u.sub(i).add(c).log()));return Zl(l,s,o)}}),op=In({meanSquaredError_:function(t,e,n,r){void 0===r&&(r=Yl.SUM_BY_NONZERO_WEIGHTS);var o=dn(t,"labels","meanSquaredError"),a=dn(e,"predictions","meanSquaredError"),i=null;null!=n&&(i=dn(n,"weights","meanSquaredError")),w(o.shape,a.shape,"Error in meanSquaredError: ");var s=o.squaredDifference(a);return Zl(s,i,r)}}),ap=In({sigmoidCrossEntropy_:function(t,e,n,r,o){void 0===r&&(r=0),void 0===o&&(o=Yl.SUM_BY_NONZERO_WEIGHTS);var a=dn(t,"multiClassLabels","sigmoidCrossEntropy"),i=dn(e,"logits","sigmoidCrossEntropy"),s=null;if(null!=n&&(s=dn(n,"weights","sigmoidCrossEntropy")),w(a.shape,i.shape,"Error in sigmoidCrossEntropy: "),r>0){var u=Nn(r),c=Nn(1),l=Nn(.5);a=a.mul(c.sub(u)).add(l.mul(u))}var p=function(t,e){var n=dn(t,"labels","sigmoidCrossEntropyWithLogits"),r=dn(e,"logits","sigmoidCrossEntropyWithLogits");w(n.shape,r.shape,"Error in sigmoidCrossEntropyWithLogits: ");var o=r.relu(),a=r.mul(n),i=r.abs().neg().exp().log1p();return o.sub(a).add(i)}(a,i);return Zl(p,s,o)}}),ip=In({softmaxCrossEntropy_:function(t,e,n,r,o){void 0===r&&(r=0),void 0===o&&(o=Yl.SUM_BY_NONZERO_WEIGHTS);var a=dn(t,"onehotLabels","softmaxCrossEntropy"),i=dn(e,"logits","softmaxCrossEntropy"),s=null;if(null!=n&&(s=dn(n,"weights","softmaxCrossEntropy")),w(a.shape,i.shape,"Error in softmaxCrossEntropy: "),r>0){var u=Nn(r),c=Nn(1),l=Nn(a.shape[1]);a=a.mul(c.sub(u)).add(u.div(l))}var p=function(t,e,n){if(void 0===n&&(n=-1),-1===n&&(n=e.rank-1),n!==e.rank-1)throw Error("Softmax cross entropy along a non-last dimension is not yet supported. Labels / logits was rank "+e.rank+" and dim was "+n);return so(function(t,e,r){var o=e.logSumExp([n],!0),a=e.toFloat().sub(o);return r([t,a]),{value:a.mul(t).neg().sum([n]),gradFunc:function(t,e){var r=e[0],o=e[1],a=xn(t.shape,[n]);return[t.reshape(a).mul(r.toFloat().sub(o.exp())),t.reshape(a).mul(o.exp().sub(r.toFloat()))]}}})(t,e)}(a,i);return Zl(p,s,o)}}),sp=Object.freeze({get Reduction(){return Yl},absoluteDifference:Jl,computeWeightedLoss:Zl,cosineDistance:tp,hingeLoss:ep,huberLoss:np,logLoss:rp,meanSquaredError:op,sigmoidCrossEntropy:ap,softmaxCrossEntropy:ip});function up(t,e){return void 0===e&&(e=!1),_t.tidy(function(){if(2!==t.shape.length)throw new Error("qr2d() requires a 2D Tensor, but got a "+t.shape.length+"D Tensor.");for(var n=t.shape[0],r=t.shape[1],o=xr(n),a=t.clone(),i=On([[1]],[1,1]),s=i.clone(),u=n>=r?r:n,c=function(t){var e,u=a,c=s,l=o;e=_t.tidy(function(){var e=a.slice([t,t],[n-t,1]),u=e.norm(),c=a.slice([t,t],[1,1]),l=On([[-1]]).where(c.greater(0),On([[1]])),p=c.sub(l.mul(u)),h=e.div(p);s=1===h.shape[0]?i.clone():i.concat(h.slice([1,0],[h.shape[0]-1,h.shape[1]]),0);var d=l.matMul(p).div(u).neg(),f=a.slice([t,0],[n-t,r]),v=d.mul(s);if(0===t)a=f.sub(v.matMul(s.transpose().matMul(f)));else{var m=f.sub(v.matMul(s.transpose().matMul(f)));a=a.slice([0,0],[t,r]).concat(m,0)}var g=o.slice([0,t],[n,o.shape[1]-t]);if(0===t)o=g.sub(g.matMul(s).matMul(v.transpose()));else{var x=g.sub(g.matMul(s).matMul(v.transpose()));o=o.slice([0,0],[n,t]).concat(x,1)}return[s,a,o]}),s=e[0],a=e[1],o=e[2],Qe([u,c,l])},l=0;l<u;++l)c(l);return!e&&n>r&&(o=o.slice([0,0],[n,r]),a=a.slice([0,0],[r,r])),[o,a]})}exports.losses=sp;var cp=In({gramSchmidt_:function(t){var e;if(Array.isArray(t)){e=!1,b(null!=t&&t.length>0,function(){return"Gram-Schmidt process: input must not be null, undefined, or empty"});for(var n=t[0].shape[0],r=function(e){b(t[e].shape[0]===n,function(){return"Gram-Schmidt: Non-unique lengths found in the input vectors: ("+t[e].shape[0]+" vs. "+n+")"})},o=1;o<t.length;++o)r(o)}else e=!0,t=Qn(t,t.shape[0],0).map(function(t){return Fr(t,[0])});b(t.length<=t[0].shape[0],function(){return"Gram-Schmidt: Number of vectors ("+t.length+") exceeds number of dimensions ("+t[0].shape[0]+")."});var a=[],i=t,s=function(t){a.push(_t.tidy(function(){var e=i[t];if(t>0)for(var n=0;n<t;++n){var r=xl(a[n].mulStrict(e)).mul(a[n]);e=e.sub(r)}return e.div(Al(e,"euclidean"))}))};for(o=0;o<t.length;++o)s(o);return e?Or(a,0):a}}),lp=In({qr_:function(t,e){if(void 0===e&&(e=!1),t.rank<2)throw new Error("qr() requires input tensor to have a rank >= 2, but got rank "+t.rank);if(2===t.rank)return up(t,e);var n=t.shape.slice(0,t.shape.length-2).reduce(function(t,e){return t*e}),r=Br(t.reshape([n,t.shape[t.shape.length-2],t.shape[t.shape.length-1]]),0),o=[],a=[];return r.forEach(function(t){var n=up(t,e),r=n[0],i=n[1];o.push(r),a.push(i)}),[Or(o,0).reshape(t.shape),Or(a,0).reshape(t.shape)]}}),pp=Object.freeze({gramSchmidt:cp,qr:lp});function hp(t,e,n,r,o){null==r&&(r=.5),null==o&&(o=Number.NEGATIVE_INFINITY);var a=t.shape[0];return n=Math.min(n,a),b(0<=r&&r<=1,function(){return"iouThreshold must be in [0, 1], but was '"+r+"'"}),b(2===t.rank,function(){return"boxes must be a 2D tensor, but was of rank '"+t.rank+"'"}),b(4===t.shape[1],function(){return"boxes must have 4 columns, but 2nd dimension was "+t.shape[1]}),b(1===e.rank,function(){return"scores must be a 1D tensor"}),b(e.shape[0]===a,function(){return"scores has incompatible shape with boxes. Expected "+a+", but was "+e.shape[0]}),{maxOutputSize:n,iouThreshold:r,scoreThreshold:o}}exports.linalg=pp;var dp=In({resizeBilinear_:function(t,e,n){void 0===n&&(n=!1);var r=dn(t,"images","resizeBilinear");b(3===r.rank||4===r.rank,function(){return"Error in resizeBilinear: x must be rank 3 or 4, but got rank "+r.rank+"."}),b(2===e.length,function(){return"Error in resizeBilinear: new shape must 2D, but got shape "+e+"."});var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=e[0],s=e[1],u=_t.runKernelFunc(function(t,e){return e([o]),t.resizeBilinear(o,i,s,n)},{batchImages:o},function(t,e){return{batchImages:function(){return _t.runKernelFunc(function(r){return r.resizeBilinearBackprop(t,e[0],n)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),fp=In({resizeNearestNeighbor_:function(t,e,n){void 0===n&&(n=!1);var r=dn(t,"images","resizeNearestNeighbor");b(3===r.rank||4===r.rank,function(){return"Error in resizeNearestNeighbor: x must be rank 3 or 4, but got rank "+r.rank+"."}),b(2===e.length,function(){return"Error in resizeNearestNeighbor: new shape must 2D, but got shape "+e+"."}),b("float32"===r.dtype||"int32"===r.dtype,function(){return"`images` must have `int32` or `float32` as dtype"});var o=r,a=!1;3===r.rank&&(a=!0,o=r.as4D(1,r.shape[0],r.shape[1],r.shape[2]));var i=e[0],s=e[1],u=_t.runKernelFunc(function(t,e){return e([o]),t.resizeNearestNeighbor(o,i,s,n)},{batchImages:o},function(t,e){return{batchImages:function(){return _t.runKernelFunc(function(r){return r.resizeNearestNeighborBackprop(t,e[0],n)},{})}}});return a?u.as3D(u.shape[1],u.shape[2],u.shape[3]):u}}),vp=In({nonMaxSuppression_:function(t,e,n,r,o){void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY);var a=dn(t,"boxes","nonMaxSuppression"),i=dn(e,"scores","nonMaxSuppression"),s=hp(a,i,n,r,o);return n=s.maxOutputSize,r=s.iouThreshold,o=s.scoreThreshold,_t.runKernelFunc(function(t){return t.nonMaxSuppression(a,i,n,r,o)},{$boxes:a})}}),mp=function(t,e,n,r,o){return void 0===r&&(r=.5),void 0===o&&(o=Number.NEGATIVE_INFINITY),a(this,void 0,void 0,function(){var a,s,u,c,l,p,h;return i(this,function(i){switch(i.label){case 0:return a=dn(t,"boxes","nonMaxSuppressionAsync"),s=dn(e,"scores","nonMaxSuppressionAsync"),u=hp(a,s,n,r,o),n=u.maxOutputSize,r=u.iouThreshold,o=u.scoreThreshold,[4,Promise.all([a.data(),s.data()])];case 1:return c=i.sent(),l=c[0],p=c[1],h=Lo(l,p,n,r,o),a!==t&&a.dispose(),s!==e&&s.dispose(),[2,h]}})})},gp=In({cropAndResize_:function(t,e,n,r,o,a){var i=dn(t,"image","cropAndResize","float32"),s=dn(e,"boxes","cropAndResize","float32"),u=dn(n,"boxInd","cropAndResize","int32");o=o||"bilinear",a=a||0;var c=s.shape[0];return b(4===i.rank,function(){return"Error in cropAndResize: image must be rank 4,but got rank "+i.rank+"."}),b(2===s.rank&&4===s.shape[1],function(){return"Error in cropAndResize: boxes must be have size ["+c+",4] but had shape "+s.shape+"."}),b(1===u.rank&&u.shape[0]===c,function(){return"Error in cropAndResize: boxInd must be have size ["+c+"] but had shape "+s.shape+"."}),b(2===r.length,function(){return"Error in cropAndResize: cropSize must be of length 2, but got length "+r.length+"."}),b(r[0]>=1&&r[1]>=1,function(){return"cropSize must be atleast [1,1], but was "+r}),b("bilinear"===o||"nearest"===o,function(){return"method must be bilinear or nearest, but was "+o}),_t.runKernelFunc(function(t,e){return t.cropAndResize(i,s,u,r,o,a)},{$image:i,$boxes:s})}}),xp=Object.freeze({resizeBilinear:dp,resizeNearestNeighbor:fp,nonMaxSuppression:vp,nonMaxSuppressionAsync:mp,cropAndResize:gp}),yp=function(t,e){return!(t>0||"linear"!==e&&"relu"!==e)},bp=function(t,e,n){if(null==n||"linear"===n)return t;if("relu"===n)return t.mul(e.step());throw new Error("Gradient for activation "+n+" has not been implemented yet.")},wp=function(t,e){var n=e,r=mo(t.shape,e.shape);return r.length>0&&(n=n.sum(r)),n.reshape(t.shape)},Cp=function(t,e,n){if("linear"===e)return t;if("relu"===e)return El(t);if("elu"===e)return bl(t);if("relu6"===e)return Rl(t);if("prelu"===e)return Cl(t,n);throw new Error("Unknown fused activation "+e+".")};exports.image=xp;var Ep=In({matMul_:function(t){var e,n=t.a,r=t.b,o=t.transposeA,a=void 0!==o&&o,i=t.transposeB,s=void 0!==i&&i,u=t.bias,c=t.activation,l=void 0===c?"linear":c,p=t.preluActivationWeights;if(!1===yp(_t.state.gradientDepth,l)){var h=Vc(n,r,a,s);return null!=u&&(h=Hu(h,u)),Cp(h,l,p)}var d=dn(n,"a","fused matMul"),f=dn(r,"b","fused matMul");e=St(d,f),d=e[0],f=e[1];var v=a?d.shape[d.rank-2]:d.shape[d.rank-1],m=s?f.shape[f.rank-1]:f.shape[f.rank-2],g=a?d.shape[d.rank-1]:d.shape[d.rank-2],x=s?f.shape[f.rank-2]:f.shape[f.rank-1],y=d.shape.slice(0,-2),w=f.shape.slice(0,-2),C=R(y),E=R(w);b(d.rank>=2&&f.rank>=2&&d.rank===f.rank,function(){return"Error in fused matMul: inputs must have the same rank of at least 2, got ranks "+d.rank+" and "+f.rank+"."}),b(I(y,w),function(){return"Error in fused matMul: outer dimensions ("+y+") and ("+w+") of Tensors with shapes "+d.shape+" and "+f.shape+" must match."}),b(v===m,function(){return"Error in fused matMul: inner shapes ("+v+") and ("+m+") of Tensors with shapes "+d.shape+" and "+f.shape+" and transposeA="+a+" and transposeB="+s+" must match."});var k,S,A=d.shape.slice(0,-2).concat([g,x]),D=a?d.as3D(C,v,g):d.as3D(C,g,v),T=s?f.as3D(E,x,m):f.as3D(E,m,x);null!=u&&go(A,(k=St(k=dn(u,"bias","fused matMul"),d)[0]).shape),null!=p&&(S=dn(p,"prelu weights","fused matMul"));var N={$a:D,$b:T};return null!=u&&(N.$bias=k),null!=p&&(N.$preluActivationWeights=S),_t.runKernelFunc(function(t,e){var n=t.fusedBatchMatMul({a:D,b:T,transposeA:a,transposeB:s,bias:k,activation:l,preluActivationWeights:S});return e([D,T,n]),n},N,function(t,e){var n=e[0],r=e[1],o=e[2],i=bp(t,o,l),c={};return null!=u&&(c={$bias:function(){return wp(k,i)}}),a||s?!a&&s?Object.assign({$a:function(){return i.matMul(r,!1,!1)},$b:function(){return i.matMul(n,!0,!1)}},c):a&&!s?Object.assign({$a:function(){return r.matMul(i,!1,!0)},$b:function(){return n.matMul(i,!1,!1)}},c):Object.assign({$a:function(){return r.matMul(i,!0,!0)},$b:function(){return i.matMul(n,!0,!0)}},c):Object.assign({$a:function(){return i.matMul(r,!1,!0)},$b:function(){return n.matMul(i,!0,!1)}},c)}).reshape(A)}}),Rp=In({conv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,o=t.pad,a=t.dataFormat,i=void 0===a?"NHWC":a,s=t.dilations,u=void 0===s?[1,1]:s,c=t.dimRoundingMode,l=t.bias,p=t.activation,h=void 0===p?"linear":p,d=t.preluActivationWeights;if(h=h||"linear",!1===yp(_t.state.gradientDepth,h)){var f=Fc(e,n,r,o,i,u,c);return null!=l&&(f=Hu(f,l)),Cp(f,h,d)}var v=dn(e,"x","conv2d"),m=dn(n,"filter","conv2d"),g=v,x=!1;3===v.rank&&(x=!0,g=v.as4D(1,v.shape[0],v.shape[1],v.shape[2])),b(4===g.rank,function(){return"Error in fused conv2d: input must be rank 4, but got rank "+g.rank+"."}),b(4===m.rank,function(){return"Error in fused conv2d: filter must be rank 4, but got rank "+m.rank+"."}),null!=c&&b(k(o),function(){return"Error in fused conv2d: pad must be an integer when using, dimRoundingMode "+c+" but got pad "+o+"."}),b(g.shape[3]===m.shape[2],function(){return"Error in conv2d: depth of input ("+g.shape[3]+") must match input depth for filter "+m.shape[2]+"."}),b(Ao(r,u),function(){return"Error in conv2D: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"}),b("NHWC"===i,function(){return"Error in conv2d: got dataFormat of "+i+" but only NHWC is currently supported."});var y,w,C=bo(g.shape,m.shape,r,u,o,c);null!=l&&(y=St(y=dn(l,"bias","fused conv2d"),v)[0],go(C.outShape,y.shape)),null!=d&&(w=dn(d,"prelu weights","fused conv2d"));var E={x:g,$filter:m};null!=l&&(E.$bias=y),null!=d&&(E.$preluActivationWeights=w);var R=_t.runKernelFunc(function(t,e){var n=t.fusedConv2d({input:g,filter:m,convInfo:C,bias:y,activation:h,preluActivationWeights:w});return e([m,g,n]),n},E,function(t,e){var n=e,a=n[0],i=n[1],s=n[2],c=bp(t,s,h);b(So(u),function(){return"Error in gradient of fused conv2D: dilation rates greater than 1 are not yet supported in gradients. Got dilations '"+u+"'"});var p={};return null!=l&&(p={$bias:function(){return wp(y,c)}}),Object.assign({x:function(){return Mc(i.shape,c,a,r,o)},$filter:function(){return _c(i,c,a.shape,r,o)}},p)});return x?R.as3D(R.shape[1],R.shape[2],R.shape[3]):R}}),Ip=In({depthwiseConv2d_:function(t){var e=t.x,n=t.filter,r=t.strides,o=t.pad,a=t.dataFormat,i=void 0===a?"NHWC":a,s=t.dilations,u=void 0===s?[1,1]:s,c=t.dimRoundingMode,l=t.bias,p=t.activation,h=void 0===p?"linear":p,d=t.preluActivationWeights;if(!1===yp(_t.state.gradientDepth,h)){var f=Bc(e,n,r,o,i,u,c);return null!=l&&(f=Hu(f,l)),Cp(f,h,d)}var v=dn(e,"x","depthwiseConv2d"),m=dn(n,"filter","depthwiseConv2d"),g=v,x=!1;3===v.rank&&(x=!0,g=v.as4D(1,v.shape[0],v.shape[1],v.shape[2])),b(4===g.rank,function(){return"Error in fused depthwiseConv2d: input must be rank 4, but got rank "+g.rank+"."}),b(4===m.rank,function(){return"Error in fused depthwiseConv2d: filter must be rank 4, but got rank "+m.rank+"."}),b(g.shape[3]===m.shape[2],function(){return"Error in fused depthwiseConv2d: number of input channels ("+g.shape[3]+") must match the inChannels dimension in filter "+m.shape[2]+"."}),null==u&&(u=[1,1]),b(Ao(r,u),function(){return"Error in fused depthwiseConv2d: Either strides or dilations must be 1. Got strides "+r+" and dilations '"+u+"'"}),null!=c&&b(k(o),function(){return"Error in fused depthwiseConv2d: pad must be an integer when using dimRoundingMode "+c+" but got pad "+o+"."});var y,w,C=bo(g.shape,m.shape,r,u,o,c,!0);null!=l&&(y=St(y=dn(l,"bias","fused conv2d"),v)[0],go(C.outShape,y.shape)),null!=d&&(w=dn(d,"prelu weights","fused depthwiseConv2d"));var E={x:g,$filter:m};null!=l&&(E.$bias=y),null!=d&&(E.$preluActivationWeights=w);var R=_t.runKernelFunc(function(t,e){var n=t.fusedDepthwiseConv2D({input:g,filter:m,convInfo:C,bias:y,activation:h,preluActivationWeights:w});return e([g,m,n]),n},E,function(t,e){b(So(u),function(){return"Error in gradient of fused depthwiseConv2d: dilation rates greater than 1 are not yet supported. Got dilations '"+u+"'"});var n=e[0],r=e[1],o=e[2],a=bp(t,o,h),i={};return null!=l&&(i={$bias:function(){return wp(y,a)}}),Object.assign({x:function(){return Pc(n.shape,a,r,C)},$filter:function(){return Lc(n,a,r.shape,C)}},i)});return x?R.as3D(R.shape[1],R.shape[2],R.shape[3]):R}}),kp=Object.freeze({matMul:Ep,conv2d:Rp,depthwiseConv2d:Ip}),Sp=Object.freeze({image:xp,linalg:pp,losses:sp,spectral:Wl,fused:kp,signal:$l,square:Gs,conv1d:Nc,conv2d:Fc,conv3d:Oc,depthwiseConv2d:Bc,separableConv2d:Wc,conv2dTranspose:Uc,conv3dTranspose:zc,op:In,batchNormalization2d:Tu,batchNormalization3d:Nu,batchNormalization4d:Fu,batchNormalization:Ou,batchNorm:_u,batchNorm2d:Mu,batchNorm3d:Bu,batchNorm4d:Pu,booleanMaskAsync:Sc,complex:kn,real:Sn,imag:An,concat:Kn,concat1d:jn,concat2d:Xn,concat3d:$n,concat4d:Yn,split:Qn,matMul:Vc,dot:Gc,outerProduct:Hc,reverse:qc,reverse1d:Kc,reverse2d:jc,reverse3d:Xc,reverse4d:$c,maxPool:Jc,avgPool:Zc,pool:tl,maxPool3d:el,avgPool3d:nl,slice:rl,slice1d:ol,slice2d:al,slice3d:il,slice4d:sl,abs:Hs,acos:qs,acosh:Ks,asin:js,asinh:Xs,atan:$s,atanh:Ys,ceil:Qs,clipByValue:Js,cos:Zs,cosh:tu,erf:eu,exp:nu,expm1:ru,floor:ou,log:au,log1p:iu,logSigmoid:su,neg:uu,reciprocal:cu,round:lu,rsqrt:pu,sigmoid:hu,sign:du,isNaN:fu,isInf:vu,isFinite:mu,sin:gu,sinh:xu,softplus:yu,sqrt:bu,step:wu,tan:Cu,tanh:Eu,all:cl,any:ll,argMax:pl,argMin:hl,logSumExp:dl,max:fl,mean:vl,min:ml,moments:gl,sum:xl,prod:yl,equal:pc,equalStrict:hc,greater:dc,greaterEqual:fc,greaterEqualStrict:vc,greaterStrict:mc,less:gc,lessEqual:xc,lessEqualStrict:yc,lessStrict:bc,notEqual:wc,notEqualStrict:Cc,add:Hu,addN:qu,addStrict:Ku,atan2:ju,div:Xu,divStrict:$u,floorDiv:Yu,maximum:Qu,maximumStrict:Ju,minimum:Zu,minimumStrict:tc,mod:ec,modStrict:nc,mul:rc,mulStrict:oc,pow:ac,powStrict:ic,squaredDifference:sc,squaredDifferenceStrict:uc,sub:cc,subStrict:lc,elu:bl,leakyRelu:wl,prelu:Cl,relu:El,relu6:Rl,selu:Il,logicalAnd:Lu,logicalNot:Wu,logicalOr:Uu,logicalXor:zu,where:Vu,whereAsync:Gu,buffer:lr,print:pr,batchToSpaceND:hr,cast:dr,clone:fr,cumsum:vr,depthToSpace:mr,expandDims:gr,eye:xr,multinomial:yr,oneHot:br,pad:wr,pad1d:Cr,pad2d:Er,pad3d:Rr,pad4d:Ir,rand:kr,randomNormal:Sr,randomGamma:Ar,randomUniform:Dr,reshape:Tr,spaceToBatchND:Nr,squeeze:Fr,stack:Or,tile:_r,truncatedNormal:Mr,unstack:Br,setdiff1dAsync:Pr,fill:zn,linspace:Vn,ones:Wn,range:Gn,scalar:Nn,tensor:Dn,tensor1d:Fn,tensor2d:On,tensor3d:_n,tensor4d:Mn,tensor5d:Bn,tensor6d:Pn,variable:Ln,zeros:Un,onesLike:Hn,zerosLike:qn,transpose:kl,softmax:co,logSoftmax:lo,localResponseNormalization:Sl,norm:Al,gather:Ic,unsortedSegmentSum:kc,basicLSTMCell:Dl,multiRNNCell:Tl,movingAverage:Nl,stridedSlice:Fl,topk:Ol,scatterND:_l,fft:Ml,ifft:Bl,rfft:Pl,irfft:Ll,sparseToDense:Ul,gatherND:zl,diag:Vl,dropout:Gl,hannWindow:ql,hammingWindow:Kl,frame:jl,stft:Xl,inTopKAsync:Ql});function Ap(t,e){Array.isArray(t)||(t=[t]),t.forEach(function(t){null!=t&&b("complex64"!==t.dtype,function(){return e+" does not support complex64 tensors."})})}function Dp(t,e,n,r){if("linear"===n)return t.linear(e);if("relu"===n)return t.relu(e);if("elu"===n)return t.elu(e);if("relu6"===n)return t.relu6(e);if("prelu"===n)return t.prelu(e,r);throw new Error("Activation "+n+" has not been implemented for the CPU backend.")}exports.fused=kp;var Tp=function(t){function e(){var e=t.call(this)||this;if(e.blockSize=48,e.firstUse=!0,u().get("IS_BROWSER")){var n="undefined"!=typeof OffscreenCanvas?new OffscreenCanvas(300,150):"undefined"!=typeof document?document.createElement("canvas"):null;null!==n&&(e.fromPixels2DContext=n.getContext("2d"))}return e.data=new po(e,_t),e}return o(e,t),e.prototype.write=function(t,e,n){this.firstUse&&(this.firstUse=!1,u().get("IS_NODE")&&ln("\n============================\nHi there 👋. Looks like you are running TensorFlow.js in Node.js. To speed things up dramatically, install our node backend, which binds to TensorFlow C++, by running npm i @tensorflow/tfjs-node, or npm i @tensorflow/tfjs-node-gpu if you have CUDA. Then call require('@tensorflow/tfjs-node'); (-gpu suffix for CUDA) at the start of your program. Visit https://github.com/tensorflow/tfjs-node for more details.\n============================\n"));var r={};return this.data.set(r,{values:t,dtype:n}),r},e.prototype.move=function(t,e,n,r){this.data.set(t,{values:e,dtype:r})},e.prototype.numDataIds=function(){return this.data.numDataIds()},e.prototype.fromPixels=function(t,e){if(null==t)throw new Error("pixels passed to tf.browser.fromPixels() can not be null");var n,r,o=t.data instanceof Uint8Array,a="undefined"!=typeof ImageData&&t instanceof ImageData,i="undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement,s="undefined"!=typeof HTMLImageElement&&t instanceof HTMLImageElement,c=i?[t.videoWidth,t.videoHeight]:[t.width,t.height],l=c[0],p=c[1];if(u().get("IS_NODE")&&null==t.getContext)throw new Error("When running in node, pixels must be an HTMLCanvasElement like the one returned by the `canvas` npm package");if(null!=t.getContext)n=t.getContext("2d").getImageData(0,0,l,p).data;else if(a||o)n=t.data;else{if(!s&&!i)throw new Error("pixels passed to tf.browser.fromPixels() must be either an HTMLVideoElement, HTMLImageElement, HTMLCanvasElement, ImageData or {data: Uint32Array, width: number, height: number}, but was "+t.constructor.name);if(null==this.fromPixels2DContext)throw new Error("Can't read pixels from HTMLImageElement outside the browser.");this.fromPixels2DContext.canvas.width=l,this.fromPixels2DContext.canvas.height=p,this.fromPixels2DContext.drawImage(t,0,0,l,p),n=this.fromPixels2DContext.getImageData(0,0,l,p).data}if(4===e)r=new Int32Array(n);else{var h=l*p;r=new Int32Array(h*e);for(var d=0;d<h;d++)for(var f=0;f<e;++f)r[d*e+f]=n[4*d+f]}return _n(r,[p,l,e],"int32")},e.prototype.read=function(t){return a(this,void 0,void 0,function(){return i(this,function(e){return[2,this.readSync(t)]})})},e.prototype.readSync=function(t){var e=this.data.get(t),n=e.dtype,r=e.complexTensors;return"complex64"===n?_o(this.readSync(r.real.dataId),this.readSync(r.imag.dataId)):this.data.get(t).values},e.prototype.bufferSync=function(t){var e=this.readSync(t.dataId),n=e;if("string"===t.dtype)try{n=e.map(function(t){return nt(t)})}catch(t){throw new Error("Failed to decode encoded string bytes into utf-8")}return lr(t.shape,t.dtype,n)},e.prototype.makeOutput=function(t,e,n){var r=this.write(t,e,n);return _t.makeTensorFromDataId(r,e,n,this)},e.prototype.disposeData=function(t){if(this.data.has(t)){var e=this.data.get(t).complexTensors;null!=e&&(e.real.dispose(),e.imag.dispose()),this.data.delete(t)}},e.prototype.time=function(t){return a(this,void 0,void 0,function(){var e;return i(this,function(n){return e=Z(),t(),[2,{kernelMs:Z()-e}]})})},e.prototype.memory=function(){return{unreliable:!0,reasons:["The reported memory is an upper bound. Due to automatic garbage collection, the true allocated memory may be less."]}},e.prototype.complex=function(t,e){var n=this.makeOutput(null,t.shape,"complex64");return this.data.get(n.dataId).complexTensors={real:_t.keep(t.clone()),imag:_t.keep(e.clone())},n},e.prototype.real=function(t){return this.data.get(t.dataId).complexTensors.real.clone()},e.prototype.imag=function(t){return this.data.get(t.dataId).complexTensors.imag.clone()},e.prototype.slice=function(t,e,n){if(Ap(t,"slice"),Zr(t.shape,e,n)){var r=to(e,t.strides),o=R(n);return Dn(this.readSync(t.dataId).subarray(r,r+o),n,t.dtype)}for(var a=lr(n,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s).map(function(t,n){return t+e[n]});a.values[s]=i.get.apply(i,u)}return a.toTensor()},e.prototype.stridedSlice=function(t,e,n,r){Ap(t,"stridedSlice");var o=Yr(e,n,r);if(o.some(function(t){return 0===t}))return Dn([],o);for(var a=lr(o,t.dtype),i=this.bufferSync(t),s=0;s<a.size;s++){for(var u=a.indexToLoc(s),c=new 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An(t)});return kn(this.concat(r,e),this.concat(o,e))}var a=t.map(function(t){var n=R(t.shape.slice(e));return t.as2D(-1,n)}),i=Rn(a.map(function(t){return t.shape}),1),s=lr(i,t[0].dtype).values;if(1===a[0].shape[0]){var u=0;a.forEach(function(t){s.set(n.readSync(t.dataId),u),u+=t.size})}else{var c=0;a.forEach(function(t){for(var e=n.readSync(t.dataId),r=0,o=0;o<t.shape[0];++o)for(var a=o*i[1]+c,u=0;u<t.shape[1];++u)s[a+u]=e[r++];c+=t.shape[1]})}var l=Rn(t.map(function(t){return t.shape}),e);return Dn(s,l,t[0].dtype)},e.prototype.neg=function(t){return Ap(t,"neg"),this.multiply(Nn(-1),t)},e.prototype.add=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t+n,imag:e+r}}):this.broadcastedBinaryOp(t,e,It(t.dtype,e.dtype),function(t,e){return t+e})},e.prototype.addN=function(t){var e=this;Ap(t,"addN");for(var n=t.map(function(t){return e.readSync(t.dataId)}),r=lr(t[0].shape,t[0].dtype),o=r.values,a=0;a<t.length;a++)for(var i=n[a],s=0;s<o.length;s++)o[s]+=i[s];return r.toTensor()},e.prototype.subtract=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t-n,imag:e-r}}):this.broadcastedBinaryOp(t,e,It(t.dtype,e.dtype),function(t,e){return t-e})},e.prototype.pow=function(t,e){return Ap([t,e],"pow"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.pow(t,e)})},e.prototype.batchMatMul=function(t,e,n,r){Ap([t,e],"matMul");for(var o=n?t.shape[1]:t.shape[2],a=n?t.shape[2]:t.shape[1],i=r?e.shape[1]:e.shape[2],s=t.shape[0],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=n?[t.strides[0],1,t.strides[1]]:[t.strides[0],t.strides[1],1],p=l[0],h=l[1],d=l[2],f=r?[1,e.strides[1],e.strides[0]]:[e.strides[1],1,e.strides[0]],v=f[0],m=f[1],g=f[2],x=a*i,y=lr([s,a,i],t.dtype),b=y.values,w=this.blockSize,C=0;C<s;C++)for(var E=0;E<a;E+=w)for(var R=0;R<i;R+=w)for(var I=0;I<o;I+=w)for(var k=Math.min(E+w,a),S=Math.min(R+w,i),A=Math.min(I+w,o),D=E;D<k;D++)for(var T=R;T<S;T++){for(var N=0,F=I;F<A;F++)N+=u[C*p+D*h+F*d]*c[F*v+T*m+C*g];b[C*x+(D*i+T)]+=N}return y.toTensor()},e.prototype.fusedBatchMatMul=function(t){var e=t.a,n=t.b,r=t.transposeA,o=t.transposeB,a=t.bias,i=t.activation,s=t.preluActivationWeights,u=this.batchMatMul(e,n,r,o);return a&&(u=this.add(u,a)),i&&(u=Dp(this,u,i,s)),u},e.prototype.multiply=function(t,e){return"complex64"===t.dtype||"complex64"===e.dtype?this.broadcastedBinaryComplexOp(t.cast("complex64"),e.cast("complex64"),function(t,e,n,r){return{real:t*n-e*r,imag:t*r+e*n}}):this.broadcastedBinaryOp(t,e,It(t.dtype,e.dtype),function(t,e){return t*e})},e.prototype.realDivide=function(t,e){return Ap([t,e],"realDivide"),this.broadcastedBinaryOp(t,e,"float32",function(t,e){return t/e})},e.prototype.floorDiv=function(t,e){return Ap([t,e],"floorDiv"),this.broadcastedBinaryOp(t,e,"int32",function(t,e){return Math.floor(t/e)})},e.prototype.sum=function(t,e){Ap(t,"sum"),yn("sum",e,t.rank);for(var n=gn(t.shape,e),r=n[0],o=n[1],a=Un(r,It(t.dtype,"int32")),i=R(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,p=0,h=0;h<i;++h)p+=u[l+h];s[c]=p}return a},e.prototype.prod=function(t,e){Ap(t,"sum");for(var n=gn(t.shape,e),r=n[0],o=n[1],a=Un(r,It(t.dtype,"int32")),i=R(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,p=1,h=0;h<i;++h)p*=u[l+h];s[c]=p}return a},e.prototype.unsortedSegmentSum=function(t,e,n){Ap(t,"unsortedSegmentSum");for(var r=[],o=t.rank-e.rank,a=0;a<o;++a)e=e.expandDims(a+1);for(a=0;a<n;++a){var i=Nn(a,"int32"),s=pc(i,e).asType("float32").mul(t).sum(0);r.push(s)}return Or(r)},e.prototype.argMin=function(t,e){Ap(t,"argMin");var n=[e];yn("argMin",n,t.rank);for(var r=gn(t.shape,n),o=r[0],a=r[1],i=Un(o,"int32"),s=R(a),u=this.readSync(i.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var p=l*s,h=c[p],d=0,f=0;f<s;++f){var v=c[p+f];v<h&&(h=v,d=f)}u[l]=d}return i},e.prototype.argMax=function(t,e){Ap(t,"argMax");var n=[e];yn("argMax",n,t.rank);for(var r=gn(t.shape,n),o=r[0],a=r[1],i=Un(o,"int32"),s=R(a),u=this.readSync(i.dataId),c=this.readSync(t.dataId),l=0;l<u.length;++l){for(var p=l*s,h=c[p],d=0,f=0;f<s;++f){var v=c[p+f];v>h&&(h=v,d=f)}u[l]=d}return i},e.prototype.cumsum=function(t,e,n,r){if(Ap(t,"cumsum"),e!==t.rank-1)throw new Error("backend.cumsum in CPU expects an inner-most axis="+(t.rank-1)+" but got axis="+e);for(var o=It(t.dtype,"int32"),a=Un(t.shape,o),i=this.readSync(a.dataId),s=this.readSync(t.dataId),u=t.shape[t.rank-1],c=r?function(t,e){return t+u-e-1}:function(t,e){return t+e},l=0;l<s.length;l+=u)for(var p=0;p<u;p++){var h=c(l,p);if(0===p)i[h]=n?0:s[h];else{var d=c(l,p-1);i[h]=n?s[d]+i[d]:s[h]+i[d]}}return a},e.prototype.equal=function(t,e){return Ap([t,e],"equal"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t===e?1:0})},e.prototype.notEqual=function(t,e){return Ap([t,e],"notEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t!==e?1:0})},e.prototype.less=function(t,e){return Ap([t,e],"less"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<e?1:0})},e.prototype.lessEqual=function(t,e){return Ap([t,e],"lessEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t<=e?1:0})},e.prototype.greater=function(t,e){return Ap([t,e],"greater"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>e?1:0})},e.prototype.greaterEqual=function(t,e){return Ap([t,e],"greaterEqual"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t>=e?1:0})},e.prototype.logicalNot=function(t){Ap(t,"logicalNot");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)n[r]=e[r]?0:1;return this.makeOutput(n,t.shape,"bool")},e.prototype.logicalAnd=function(t,e){return Ap([t,e],"logicalAnd"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t&&e})},e.prototype.logicalOr=function(t,e){return Ap([t,e],"logicalOr"),this.broadcastedBinaryOp(t,e,"bool",function(t,e){return t||e})},e.prototype.select=function(t,e,n){Ap([t,e,n],"select");for(var r=this.readSync(t.dataId),o=this.readSync(e.dataId),a=this.readSync(n.dataId),i=Un(e.shape,It(e.dtype,n.dtype)),s=this.readSync(i.dataId),u=0,c=0===t.rank||t.rank>1||1===e.rank?1:R(e.shape.slice(1)),l=0;l<r.length;l++)for(var p=0;p<c;p++)1===r[l]?s[u++]=o[l]:s[u++]=a[l];return i},e.prototype.where=function(t){Ap([t],"where");var e=this.readSync(t.dataId);return Go(t.shape,e)},e.prototype.topk=function(t,e,n){return Ap(t,"topk"),Vo(this.readSync(t.dataId),t.shape,t.dtype,e)},e.prototype.min=function(t,e){Ap(t,"min"),yn("min",e,t.rank);for(var n=gn(t.shape,e),r=n[0],o=n[1],a=Un(r,t.dtype),i=R(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,p=u[l],h=0;h<i;++h){var d=u[l+h];d<p&&(p=d)}s[c]=p}return a},e.prototype.minimum=function(t,e){return Ap([t,e],"minimum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.min(t,e)})},e.prototype.mod=function(t,e){return Ap([t,e],"mod"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t%e;return t<0&&e<0||t>=0&&e>=0?n:(n+e)%e})},e.prototype.max=function(t,e){Ap(t,"max"),yn("max",e,t.rank);for(var n=gn(t.shape,e),r=n[0],o=n[1],a=Un(r,t.dtype),i=R(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,p=u[l],h=0;h<i;++h){var d=u[l+h];d>p&&(p=d)}s[c]=p}return a},e.prototype.maximum=function(t,e){return Ap([t,e],"maximum"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.max(t,e)})},e.prototype.all=function(t,e){Ap(t,"all"),yn("all",e,t.rank);for(var n=gn(t.shape,e),r=n[0],o=n[1],a=Un(r,t.dtype),i=R(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,p=u[l],h=0;h<i;++h){var d=u[l+h];p=p&&d}s[c]=p}return a},e.prototype.any=function(t,e){Ap(t,"any"),yn("any",e,t.rank);for(var n=gn(t.shape,e),r=n[0],o=n[1],a=Un(r,t.dtype),i=R(o),s=this.readSync(a.dataId),u=this.readSync(t.dataId),c=0;c<s.length;++c){for(var l=c*i,p=u[l],h=0;h<i;++h){var d=u[l+h];p=p||d}s[c]=p}return a},e.prototype.squaredDifference=function(t,e){return Ap([t,e],"squaredDifference"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){var n=t-e;return n*n})},e.prototype.ceil=function(t){Ap(t,"ceil");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.ceil(e[r]);return this.makeOutput(n,t.shape,"float32")},e.prototype.floor=function(t){Ap(t,"floor");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.floor(e[r]);return this.makeOutput(n,t.shape,"float32")},e.prototype.sign=function(t){Ap(t,"x");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)e[r]<0?n[r]=-1:e[r]>0?n[r]=1:n[r]=0;return this.makeOutput(n,t.shape,"float32")},e.prototype.isNaN=function(t){Ap(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isNaN(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.isInf=function(t){Ap(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Math.abs(e[r])===1/0&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.isFinite=function(t){Ap(t,"x");for(var e=this.readSync(t.dataId),n=new Uint8Array(e.length),r=0;r<e.length;++r)Number.isFinite(e[r])&&(n[r]=1);return this.makeOutput(n,t.shape,"bool")},e.prototype.round=function(t){Ap(t,"round");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=Math.floor(e[r]);e[r]-o<.5?n[r]=Math.floor(e[r]):e[r]-o>.5?n[r]=Math.ceil(e[r]):n[r]=o%2==0?o:o+1}return this.makeOutput(n,t.shape,"float32")},e.prototype.exp=function(t){Ap(t,"exp");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.exp(e[r]);return this.makeOutput(n,t.shape,"float32")},e.prototype.expm1=function(t){Ap(t,"expm1");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=Math.expm1(e[r]);return this.makeOutput(n,t.shape,"float32")},e.prototype.log=function(t){Ap(t,"log");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log(o)}return this.makeOutput(n,t.shape,"float32")},e.prototype.log1p=function(t){Ap(t,"log1p");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.log1p(o)}return this.makeOutput(n,t.shape,"float32")},e.prototype.sqrt=function(t){Ap(t,"sqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},e.prototype.rsqrt=function(t){Ap(t,"rsqrt");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r){var o=e[r];n[r]=1/Math.sqrt(o)}return this.makeOutput(n,t.shape,"float32")},e.prototype.reciprocal=function(t){Ap(t,"reciprocal");for(var e=this.readSync(t.dataId),n=new Float32Array(e.length),r=0;r<e.length;++r)n[r]=1/e[r];return this.makeOutput(n,t.shape,"float32")},e.prototype.linear=function(t){return t},e.prototype.relu=function(t){Ap(t,"relu");for(var e=Un(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.max(0,r[o]);return e},e.prototype.relu6=function(t){Ap(t,"relu");for(var e=Un(t.shape,t.dtype),n=this.readSync(e.dataId),r=this.readSync(t.dataId),o=0;o<r.length;++o)n[o]=Math.min(Math.max(0,r[o]),6);return e},e.prototype.prelu=function(t,e){return Ap([t,e],"prelu"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return t<0?e*t:t})},e.prototype.elu=function(t){Ap(t,"elu");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=n[r];e[r]=o>=0?o:Math.exp(o)-1}return this.makeOutput(e,t.shape,"float32")},e.prototype.eluDer=function(t,e){Ap([t,e],"eluDer");for(var n=new Float32Array(e.size),r=this.readSync(e.dataId),o=this.readSync(t.dataId),a=0;a<r.length;++a){var i=r[a];n[a]=i>=1?o[a]:o[a]*(i+1)}return this.makeOutput(n,e.shape,"float32")},e.prototype.selu=function(t){Ap(t,"selu");for(var e=cs,n=ls,r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>=0?n*i:e*(Math.exp(i)-1)}return this.makeOutput(r,t.shape,"float32")},e.prototype.clip=function(t,e,n){Ap(t,"clip");for(var r=new Float32Array(t.size),o=this.readSync(t.dataId),a=0;a<o.length;++a){var i=o[a];r[a]=i>n?n:i<e?e:i}return this.makeOutput(r,t.shape,"float32")},e.prototype.abs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.abs(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.complexAbs=function(t){for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<t.size;++r){var o=n[2*r],a=n[2*r+1];e[r]=Math.hypot(o,a)}return this.makeOutput(e,t.shape,"float32")},e.prototype.int=function(t){Ap(t,"int");for(var e=new Int32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=n[r];return this.makeOutput(e,t.shape,"int32")},e.prototype.sigmoid=function(t){Ap(t,"sigmoid");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=1/(1+Math.exp(-n[r]));return this.makeOutput(e,t.shape,"float32")},e.prototype.softplus=function(t){Ap(t,"softplus");for(var e=Math.log(1.1920928955078125e-7)+2,n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a,i=r[o]>-e,s=r[o]<e,u=Math.exp(r[o]);a=s?u:i?r[o]:Math.log(1+u),n[o]=a}return this.makeOutput(n,t.shape,"float32")},e.prototype.sin=function(t){Ap(t,"sin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sin(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.cos=function(t){Ap(t,"cos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cos(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.tan=function(t){Ap(t,"tan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.tan(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asin=function(t){Ap(t,"asin");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asin(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.acos=function(t){Ap(t,"acos");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acos(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atan=function(t){Ap(t,"atan");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atan(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atan2=function(t,e){return Ap([t,e],"atan2"),this.broadcastedBinaryOp(t,e,t.dtype,function(t,e){return Math.atan2(t,e)})},e.prototype.sinh=function(t){Ap(t,"sinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.sinh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.cosh=function(t){Ap(t,"cosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.cosh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.tanh=function(t){Ap(t,"tanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=S(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.asinh=function(t){Ap(t,"asinh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.asinh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.acosh=function(t){Ap(t,"acosh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.acosh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.atanh=function(t){Ap(t,"atanh");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r)e[r]=Math.atanh(n[r]);return this.makeOutput(e,t.shape,"float32")},e.prototype.erf=function(t){Ap(t,"erf");for(var e=new Float32Array(t.size),n=this.readSync(t.dataId),r=0;r<n.length;++r){var o=Math.sign(n[r]),a=Math.abs(n[r]),i=1/(1+.3275911*a);e[r]=o*(1-((((1.061405429*i-1.453152027)*i+1.421413741)*i-.284496736)*i+.254829592)*i*Math.exp(-a*a))}return this.makeOutput(e,t.shape,"float32")},e.prototype.step=function(t,e){void 0===e&&(e=0),Ap(t,"step");for(var n=new Float32Array(t.size),r=this.readSync(t.dataId),o=0;o<r.length;++o){var a=r[o];isNaN(a)?n[o]=NaN:n[o]=a>0?1:e}return this.makeOutput(n,t.shape,"float32")},e.prototype.fusedConv2d=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.conv2d(e,n,r);return o&&(s=this.add(s,o)),a&&(s=Dp(this,s,a,i)),s},e.prototype.conv2d=function(t,e,n){Ap([t,e],"conv2d");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c="channelsLast"===n.dataFormat,l=lr(n.outShape,t.dtype),p=t.strides[0],h=c?t.strides[1]:t.strides[2],d=c?t.strides[2]:1,f=c?1:t.strides[1],v=l.strides[0],m=c?l.strides[1]:l.strides[2],g=c?l.strides[2]:1,x=c?1:l.strides[1],y=this.readSync(t.dataId),b=this.readSync(e.dataId),w=l.values,C=0;C<n.batchSize;++C)for(var E=C*p,R=C*v,I=0;I<n.outHeight;++I)for(var k=R+I*m,S=I*n.strideHeight-u,A=0;A<r;A++){var D=S+A*a;if(!(D<0||D>=n.inHeight))for(var T=A*e.strides[0],N=E+D*h,F=0;F<n.outWidth;++F)for(var O=k+F*g,_=F*n.strideWidth-s,M=0;M<o;M++){var B=_+M*i;if(!(B<0||B>=n.inWidth))for(var P=N+B*d,L=T+M*e.strides[1],W=0;W<n.inChannels;++W){for(var U=y[P+W*f],z=0;z<n.outChannels;++z)w[O+z*x]+=U*b[L+z];L+=n.outChannels}}}return l.toTensor()},e.prototype.conv3d=function(t,e,n){for(var r=n.filterDepth,o=n.filterHeight,a=n.filterWidth,i=n.dilationDepth,s=n.dilationHeight,u=n.dilationWidth,c=n.padInfo.front,l=n.padInfo.left,p=n.padInfo.top,h=lr(n.outShape,t.dtype),d=this.readSync(t.dataId),f=this.readSync(e.dataId),v=h.values,m=0;m<n.batchSize;++m)for(var g=m*t.strides[0],x=m*h.strides[0],y=0;y<n.outDepth;++y)for(var b=x+y*h.strides[1],w=y*n.strideDepth-c,C=0;C<r;C++){var E=w+C*i;if(!(E<0||E>=n.inDepth))for(var R=C*e.strides[0],I=g+E*t.strides[1],k=0;k<n.outHeight;++k)for(var S=b+k*h.strides[2],A=k*n.strideHeight-p,D=0;D<o;D++){var T=A+D*s;if(!(T<0||T>=n.inHeight))for(var N=R+D*e.strides[1],F=I+T*t.strides[2],O=0;O<n.outWidth;++O)for(var _=S+O*n.outChannels,M=O*n.strideWidth-l,B=0;B<a;B++){var P=M+B*u;if(!(P<0||P>=n.inWidth))for(var L=N+B*e.strides[2],W=F+P*n.inChannels,U=L,z=0;z<n.inChannels;++z){for(var V=d[W+z],G=0;G<n.outChannels;++G)v[_+G]+=V*f[U+G];U+=n.outChannels}}}}return h.toTensor()},e.prototype.conv2dDerInput=function(t,e,n){Ap([t,e],"conv2dDerInput");for(var r=lr(n.inShape,"float32"),o=r.values,a=this.readSync(t.dataId),i=this.readSync(e.dataId),s=e.strides,u=s[0],c=s[1],l=s[2],p=n.batchSize,h=n.filterHeight,d=n.filterWidth,f=n.inChannels,v=n.inHeight,m=n.inWidth,g=n.outChannels,x=n.outHeight,y=n.outWidth,b=n.strideHeight,w=n.strideWidth,C=n.dataFormat,E=h-1-n.padInfo.top,R=d-1-n.padInfo.left,I="channelsLast"===C,k=r.strides[0],S=I?r.strides[1]:r.strides[2],A=I?r.strides[2]:1,D=I?1:r.strides[1],T=t.strides[0],N=I?t.strides[1]:t.strides[2],F=I?t.strides[2]:1,O=I?1:t.strides[1],_=0;_<p;++_)for(var M=0;M<f;++M)for(var B=0;B<v;++B)for(var P=B-E,L=Math.max(0,Math.ceil(P/b)),W=Math.min(x,(h+P)/b),U=0;U<m;++U){for(var z=U-R,V=Math.max(0,Math.ceil(z/w)),G=Math.min(y,(d+z)/w),H=0,q=L;q<W;++q)for(var K=q*b-P,j=V;j<G;++j)for(var X=T*_+N*q+F*j,$=u*(h-1-K)+c*(d-1-(j*w-z))+l*M,Y=0;Y<g;++Y)H+=a[X+O*Y]*i[$+Y];o[k*_+S*B+A*U+D*M]=H}return r.toTensor()},e.prototype.conv3dDerInput=function(t,e,n){for(var r=lr(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=a[3],l=this.readSync(t.dataId),p=t.strides,h=p[0],d=p[1],f=p[2],v=p[3],m=this.readSync(e.dataId),g=e.strides,x=g[0],y=g[1],b=g[2],w=g[3],C=n.batchSize,E=n.filterDepth,R=n.filterHeight,I=n.filterWidth,k=n.inChannels,S=n.inDepth,A=n.inHeight,D=n.inWidth,T=n.outChannels,N=n.outDepth,F=n.outHeight,O=n.outWidth,_=n.strideDepth,M=n.strideHeight,B=n.strideWidth,P=E-1-n.padInfo.front,L=R-1-n.padInfo.top,W=I-1-n.padInfo.left,U=0;U<C;++U)for(var z=0;z<k;++z)for(var V=0;V<S;++V)for(var G=V-P,H=Math.max(0,Math.ceil(G/_)),q=Math.min(N,(E+G)/_),K=0;K<A;++K)for(var j=K-L,X=Math.max(0,Math.ceil(j/M)),$=Math.min(F,(R+j)/M),Y=0;Y<D;++Y){for(var Q=Y-W,J=Math.max(0,Math.ceil(Q/B)),Z=Math.min(O,(I+Q)/B),tt=0,et=H;et<q;++et)for(var nt=et*_-G,rt=X;rt<$;++rt)for(var ot=rt*M-j,at=J;at<Z;++at)for(var it=h*U+d*et+f*rt+v*at,st=x*(E-1-nt)+y*(R-1-ot)+b*(I-1-(at*B-Q))+w*z,ut=0;ut<T;++ut)tt+=l[it+ut]*m[st+ut];o[i*U+s*V+u*K+c*Y+z]=tt}return r.toTensor()},e.prototype.conv2dDerFilter=function(t,e,n){Ap([t,e],"conv2dDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s="channelsLast"===n.dataFormat,u=lr(n.filterShape,"float32"),c=n.padInfo.left,l=n.padInfo.top,p=this.bufferSync(t),h=this.bufferSync(e),d=0;d<a;++d)for(var f=Math.max(0,Math.ceil((l-d)/r)),v=Math.min(n.outHeight,(n.inHeight+l-d)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((c-m)/o)),x=Math.min(n.outWidth,(n.inWidth+c-m)/o),y=0;y<n.inChannels;++y)for(var b=0;b<n.outChannels;++b){for(var w=0,C=0;C<n.batchSize;++C)for(var E=f;E<v;++E)for(var R=d+E*r-l,I=g;I<x;++I){var k=m+I*o-c;w+=s?p.get(C,R,k,y)*h.get(C,E,I,b):p.get(C,y,R,k)*h.get(C,b,E,I)}u.set(w,d,m,y,b)}return u.toTensor()},e.prototype.conv3dDerFilter=function(t,e,n){for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=lr(n.filterShape,"float32"),l=c.values,p=c.strides,h=p[0],d=p[1],f=p[2],v=p[3],m=this.readSync(e.dataId),g=e.strides,x=g[0],y=g[1],b=g[2],w=g[3],C=this.readSync(t.dataId),E=t.strides,R=E[0],I=E[1],k=E[2],S=E[3],A=n.padInfo.front,D=n.padInfo.left,T=n.padInfo.top,N=0;N<i;++N)for(var F=Math.max(0,Math.ceil((A-N)/r)),O=Math.min(n.outDepth,(n.inDepth+A-N)/r),_=N*h,M=0;M<s;++M)for(var B=Math.max(0,Math.ceil((T-M)/o)),P=Math.min(n.outHeight,(n.inHeight+T-M)/o),L=M*d+_,W=0;W<u;++W)for(var U=Math.max(0,Math.ceil((D-W)/a)),z=Math.min(n.outWidth,(n.inWidth+D-W)/a),V=W*f+L,G=0;G<n.inChannels;++G)for(var H=G*v+V,q=0;q<n.outChannels;++q){for(var K=0,j=0;j<n.batchSize;++j)for(var X=j*R,$=j*x,Y=F;Y<O;++Y)for(var Q=(N+Y*r-A)*I+X,J=Y*y+$,Z=B;Z<P;++Z)for(var tt=(M+Z*o-T)*k+Q,et=Z*b+J,nt=U;nt<z;++nt){var rt=nt*w+et;K+=C[(W+nt*a-D)*S+tt+G]*m[rt+q]}l[H+q]=K}return c.toTensor()},e.prototype.fusedDepthwiseConv2D=function(t){var e=t.input,n=t.filter,r=t.convInfo,o=t.bias,a=t.activation,i=t.preluActivationWeights,s=this.depthwiseConv2D(e,n,r);return o&&(s=this.add(s,o)),a&&(s=Dp(this,s,a,i)),s},e.prototype.depthwiseConv2D=function(t,e,n){Ap([t,e],"depthwiseConv2D");for(var r=n.filterHeight,o=n.filterWidth,a=n.dilationHeight,i=n.dilationWidth,s=n.padInfo.left,u=n.padInfo.top,c=n.outChannels/n.inChannels,l=lr(n.outShape,t.dtype),p=this.readSync(t.dataId),h=this.readSync(e.dataId),d=l.values,f=0;f<n.batchSize;++f)for(var v=f*t.strides[0],m=f*l.strides[0],g=0;g<n.outHeight;++g)for(var x=m+g*l.strides[1],y=g*n.strideHeight-s,b=0;b<r;++b){var w=y+b*a;if(!(w<0||w>=n.inHeight))for(var C=b*e.strides[0],E=v+w*t.strides[1],R=0;R<n.outWidth;++R)for(var I=x+R*l.strides[2],k=R*n.strideWidth-u,S=0;S<o;++S){var A=k+S*i;if(!(A<0||A>=n.inWidth))for(var D=C+S*e.strides[1],T=E+A*n.inChannels,N=I,F=D,O=0;O<n.inChannels;++O){for(var _=p[T+O],M=0;M<c;++M)d[N+M]+=_*h[F+M];N+=c,F+=c}}}return l.toTensor()},e.prototype.depthwiseConv2DDerInput=function(t,e,n){Ap([t,e],"depthwiseConv2DDerInput");for(var r=lr(n.inShape,"float32"),o=r.values,a=r.strides,i=a[0],s=a[1],u=a[2],c=this.readSync(t.dataId),l=t.strides,p=l[0],h=l[1],d=l[2],f=this.readSync(e.dataId),v=e.strides,m=v[0],g=v[1],x=v[2],y=n.batchSize,b=n.filterHeight,w=n.filterWidth,C=n.inChannels,E=n.inHeight,R=n.inWidth,I=n.outChannels,k=n.outHeight,S=n.outWidth,A=n.strideHeight,D=n.strideWidth,T=b-1-n.padInfo.top,N=w-1-n.padInfo.left,F=I/C,O=0;O<y;++O)for(var _=0;_<C;++_)for(var M=0;M<E;++M)for(var B=M-T,P=Math.max(0,Math.ceil(B/A)),L=Math.min(k,(b+B)/A),W=0;W<R;++W){for(var U=W-N,z=Math.max(0,Math.ceil(U/D)),V=Math.min(S,(w+U)/D),G=0,H=P;H<L;++H)for(var q=H*A-B,K=z;K<V;++K)for(var j=p*O+h*H+d*K,X=m*(b-1-q)+g*(w-1-(K*D-U))+x*_,$=0;$<F;++$)G+=c[j+(_*F+$)]*f[X+$];o[i*O+s*M+u*W+_]=G}return r.toTensor()},e.prototype.depthwiseConv2DDerFilter=function(t,e,n){Ap([t,e],"depthwiseConv2DDerFilter");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=lr(n.filterShape,"float32"),u=n.padInfo.left,c=n.padInfo.top,l=n.outChannels/n.inChannels,p=this.bufferSync(t),h=this.bufferSync(e),d=0;d<a;++d)for(var f=Math.max(0,Math.ceil((c-d)/r)),v=Math.min(n.outHeight,(n.inHeight+c-d)/r),m=0;m<i;++m)for(var g=Math.max(0,Math.ceil((u-m)/o)),x=Math.min(n.outWidth,(n.inWidth+u-m)/o),y=0;y<n.outChannels;++y){for(var b=Math.trunc(y/l),w=y%l,C=0,E=0;E<n.batchSize;++E)for(var R=f;R<v;++R)for(var I=d+R*r-c,k=g;k<x;++k){var S=m+k*o-u;C+=p.get(E,I,S,b)*h.get(E,R,k,y)}s.set(C,d,m,b,w)}return s.toTensor()},e.prototype.tile=function(t,e){return Ap(t,"tile"),zo(this.bufferSync(t),e)},e.prototype.pad=function(t,e,n){Ap(t,"pad");var r=e.map(function(e,n){return e[0]+t.shape[n]+e[1]}),o=e.map(function(t){return t[0]}),a=this.bufferSync(t),i=lr(r,t.dtype);0!==n&&i.values.fill(n);for(var s=0;s<t.size;s++){var u=a.indexToLoc(s),c=u.map(function(t,e){return t+o[e]});i.set.apply(i,[a.get.apply(a,u)].concat(c))}return i.toTensor()},e.prototype.transpose=function(t,e){Ap(t,"transpose");for(var n=new Array(t.rank),r=0;r<n.length;r++)n[r]=t.shape[e[r]];var o=this.readSync(t.dataId),a=lr(n,t.dtype),i=this.bufferSync(t);for(r=0;r<t.size;++r){for(var s=i.indexToLoc(r),u=new Array(s.length),c=0;c<u.length;c++)u[c]=s[e[c]];var l=a.locToIndex(u);a.values[l]=o[r]}return a.toTensor()},e.prototype.gather=function(t,e,n){Ap([t,e],"gather");var r=t.shape.slice(),o=this.readSync(e.dataId);r[n]=o.length;for(var a=lr(r,t.dtype),i=this.bufferSync(t),s=0;s<a.size;++s){var u=a.indexToLoc(s),c=u.slice();c[n]=o[u[n]];var l=i.locToIndex(c);a.values[s]=i.values[l]}return a.toTensor()},e.prototype.batchToSpaceND=function(t,e,n){Ap([t],"batchToSpaceND");var r=e.reduce(function(t,e){return t*e}),o=Lr(t.shape,e,r),a=Wr(o.length,e.length),i=Ur(t.shape,e,r),s=zr(n,e.length),u=Vr(i,n,e.length);return t.reshape(o).transpose(a).reshape(i).slice(s,u)},e.prototype.spaceToBatchND=function(t,e,n){Ap([t],"spaceToBatchND");var r=e.reduce(function(t,e){return t*e}),o=[[0,0]];o.push.apply(o,n);for(var a=1+e.length;a<t.shape.length;++a)o.push([0,0]);var i=t.pad(o),s=Lr(i.shape,e,r,!1),u=Wr(s.length,e.length,!1),c=Ur(i.shape,e,r,!1);return i.reshape(s).transpose(u).reshape(c)},e.prototype.pool=function(t,e,n){Ap(t,"pool");for(var r=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=e.padInfo.top,l=e.padInfo.left,p="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,h=this.readSync(t.dataId),d=lr(e.outShape,t.dtype),f=d.values,v=e.outShape[1]*e.outShape[2]*e.outShape[3],m=e.outShape[2]*e.outShape[3],g=e.outShape[3],x=0;x<e.batchSize;++x)for(var y=x*v,b=x*t.strides[0],w=0;w<e.inChannels;++w)for(var C=0;C<e.outHeight;++C)for(var E=C*r-c,R=Math.max(0,E),I=Math.min(e.inHeight,s+E),k=y+C*m,S=0;S<e.outWidth;++S){for(var A=S*o-l,D=Math.max(0,A),T=Math.min(e.inWidth,u+A),N=p,F=0,O=0,_=R;_<I;_+=a){for(var M=b+_*t.strides[1],B=D;B<T;B+=i){var P=h[M+B*t.strides[2]+w];"max"===n&&P>N?N=P:"avg"===n&&(F+=P,O++)}if(isNaN(N))break}f[k+S*g+w]="avg"===n?F/O:N}return d.toTensor()},e.prototype.maxPool=function(t,e){return this.pool(t,e,"max")},e.prototype.maxPoolPositions=function(t,e){for(var n=lr(e.outShape,"int32"),r=e.strideHeight,o=e.strideWidth,a=e.dilationHeight,i=e.dilationWidth,s=e.effectiveFilterHeight,u=e.effectiveFilterWidth,c=e.padInfo.top,l=e.padInfo.left,p=this.bufferSync(t),h=0;h<e.batchSize;++h)for(var d=0;d<e.inChannels;++d)for(var f=0;f<e.outHeight;++f){for(var v=f*r-c,m=v;m<0;)m+=a;for(var g=Math.min(e.inHeight,s+v),x=0;x<e.outWidth;++x){for(var y=x*o-l,b=y;b<0;)b+=i;for(var w=Math.min(e.inWidth,u+y),C=Number.NEGATIVE_INFINITY,E=-1,R=m;R<g;R+=a)for(var I=R-v,k=b;k<w;k+=i){var S=k-y,A=p.get(h,R,k,d);A>C&&(C=A,E=I*u+S)}n.set(E,h,f,x,d)}}return n.toTensor()},e.prototype.maxPoolBackprop=function(t,e,n,r){Ap([e,n],"maxPoolBackprop");for(var o=this.maxPoolPositions(e,r),a=r.strideHeight,i=r.strideWidth,s=r.dilationHeight,u=r.dilationWidth,c=r.effectiveFilterHeight,l=r.effectiveFilterWidth,p=l-1-r.padInfo.left,h=c-1-r.padInfo.top,d=lr(e.shape,"float32"),f=this.bufferSync(o),v=this.bufferSync(t),m=0;m<r.batchSize;++m)for(var g=0;g<r.inChannels;++g)for(var x=0;x<r.inHeight;++x)for(var y=0;y<r.inWidth;++y){for(var b=x-h,w=y-p,C=0,E=0;E<c;E+=s){var R=(b+E)/a;if(!(R<0||R>=r.outHeight||Math.floor(R)!==R))for(var I=0;I<l;I+=u){var k=(w+I)/i;if(!(k<0||k>=r.outWidth||Math.floor(k)!==k)){var S=c*l-1-f.get(m,R,k,g)===E*l+I?1:0;0!==S&&(C+=v.get(m,R,k,g)*S)}}}d.set(C,m,x,y,g)}return d.toTensor()},e.prototype.avgPoolBackprop=function(t,e,n){Ap([t,e],"avgPoolBackprop");for(var r=n.strideHeight,o=n.strideWidth,a=n.filterHeight,i=n.filterWidth,s=n.dilationHeight,u=n.dilationWidth,c=n.effectiveFilterHeight,l=n.effectiveFilterWidth,p=l-1-n.padInfo.left,h=c-1-n.padInfo.top,d=lr(e.shape,"float32"),f=1/(a*i),v=this.bufferSync(t),m=0;m<n.batchSize;++m)for(var g=0;g<n.inChannels;++g)for(var x=0;x<n.inHeight;++x)for(var y=0;y<n.inWidth;++y){for(var b=x-h,w=y-p,C=0,E=0;E<c;E+=s){var R=(b+E)/r;if(!(R<0||R>=n.outHeight||Math.floor(R)!==R))for(var I=0;I<l;I+=u){var k=(w+I)/o;k<0||k>=n.outWidth||Math.floor(k)!==k||(C+=v.get(m,R,k,g))}}d.set(C*f,m,x,y,g)}return d.toTensor()},e.prototype.pool3d=function(t,e,n){Ap(t,"pool3d");for(var r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,d=e.padInfo.top,f=e.padInfo.left,v="max"===n?Number.NEGATIVE_INFINITY:Number.POSITIVE_INFINITY,m=this.readSync(t.dataId),g=lr(e.outShape,t.dtype),x=g.values,y=e.outShape[1]*e.outShape[2]*e.outShape[3]*e.outShape[4],b=e.outShape[2]*e.outShape[3]*e.outShape[4],w=e.outShape[3]*e.outShape[4],C=e.outShape[4],E=0;E<e.batchSize;++E)for(var R=E*y,I=E*t.strides[0],k=0;k<e.inChannels;++k)for(var S=0;S<e.outDepth;++S){for(var A=S*r-h,D=A;D<0;)D+=i;for(var T=Math.min(e.inDepth,c+A),N=R+S*b,F=0;F<e.outHeight;++F){for(var O=F*o-d,_=O;_<0;)_+=s;for(var M=Math.min(e.inHeight,l+O),B=N+F*w,P=0;P<e.outWidth;++P){for(var L=P*a-f,W=L;W<0;)W+=u;for(var U=Math.min(e.inWidth,p+L),z=B+P*C,V=v,G=0,H=0,q=D;q<T;q+=i){for(var K=I+q*t.strides[1],j=_;j<M;j+=s){for(var X=K+j*t.strides[2],$=W;$<U;$+=u){var Y=m[X+$*t.strides[3]+k];if("max"===n&&Y>V?V=Y:"avg"===n&&(G+=Y,H++),isNaN(V))break}if(isNaN(V))break}if(isNaN(V))break}x[z+k]="avg"===n?G/H:V}}}return g.toTensor()},e.prototype.avgPool3d=function(t,e){return Ap(t,"avgPool3d"),this.pool3d(t,e,"avg").toFloat()},e.prototype.avgPool3dBackprop=function(t,e,n){Ap([t,e],"avgPool3dBackprop");for(var r=n.strideDepth,o=n.strideHeight,a=n.strideWidth,i=n.filterDepth,s=n.filterHeight,u=n.filterWidth,c=n.dilationDepth,l=n.dilationHeight,p=n.dilationWidth,h=n.effectiveFilterDepth,d=n.effectiveFilterHeight,f=n.effectiveFilterWidth,v=h-1-n.padInfo.front,m=f-1-n.padInfo.left,g=d-1-n.padInfo.top,x=lr(e.shape,"float32"),y=1/(i*s*u),b=this.bufferSync(t),w=0;w<n.batchSize;++w)for(var C=0;C<n.inChannels;++C)for(var E=0;E<n.inDepth;++E)for(var R=0;R<n.inHeight;++R)for(var I=0;I<n.inWidth;++I){for(var k=E-v,S=R-g,A=I-m,D=0,T=0;T<h;T+=c){var N=(k+T)/r;if(!(N<0||N>=n.outDepth||Math.floor(N)!==N))for(var F=0;F<d;F+=l){var O=(S+F)/o;if(!(O<0||O>=n.outHeight||Math.floor(O)!==O))for(var _=0;_<f;_+=p){var M=(A+_)/a;M<0||M>=n.outWidth||Math.floor(M)!==M||(D+=b.get(w,N,O,M,C))}}}x.set(D*y,w,E,R,I,C)}return x.toTensor()},e.prototype.maxPool3d=function(t,e){return Ap(t,"maxPool3d"),this.pool3d(t,e,"max").toFloat()},e.prototype.maxPool3dPositions=function(t,e){for(var n=lr(e.outShape,"int32"),r=e.strideDepth,o=e.strideHeight,a=e.strideWidth,i=e.dilationDepth,s=e.dilationHeight,u=e.dilationWidth,c=e.effectiveFilterDepth,l=e.effectiveFilterHeight,p=e.effectiveFilterWidth,h=e.padInfo.front,d=e.padInfo.top,f=e.padInfo.left,v=this.bufferSync(t),m=0;m<e.batchSize;++m)for(var g=0;g<e.inChannels;++g)for(var x=0;x<e.outDepth;++x){for(var y=x*r-h,b=y;b<0;)b+=i;for(var w=Math.min(e.inDepth,c+y),C=0;C<e.outHeight;++C){for(var E=C*o-d,R=E;R<0;)R+=s;for(var I=Math.min(e.inHeight,l+E),k=0;k<e.outWidth;++k){for(var S=k*a-f,A=S;A<0;)A+=u;for(var D=Math.min(e.inWidth,p+S),T=Number.NEGATIVE_INFINITY,N=-1,F=b;F<w;F+=i)for(var O=F-y,_=R;_<I;_+=s)for(var M=_-E,B=A;B<D;B+=u){var P=B-S,L=v.get(m,F,_,B,g);L>=T&&(T=L,N=O*l*p+M*l+P)}n.set(N,m,x,C,k,g)}}}return n.toTensor()},e.prototype.maxPool3dBackprop=function(t,e,n,r){Ap([e,n],"maxPool3dBackprop");for(var o=this.maxPool3dPositions(e,r),a=r.strideDepth,i=r.strideHeight,s=r.strideWidth,u=r.dilationDepth,c=r.dilationHeight,l=r.dilationWidth,p=r.effectiveFilterDepth,h=r.effectiveFilterHeight,d=r.effectiveFilterWidth,f=p-1-r.padInfo.front,v=d-1-r.padInfo.left,m=h-1-r.padInfo.top,g=lr(e.shape,"float32"),x=this.bufferSync(o),y=this.bufferSync(t),b=0;b<r.batchSize;++b)for(var w=0;w<r.inChannels;++w)for(var C=0;C<r.inDepth;++C)for(var E=0;E<r.inHeight;++E)for(var R=0;R<r.inWidth;++R){for(var I=C-f,k=E-m,S=R-v,A=0,D=0;D<p;D+=u){var T=(I+D)/a;if(!(T<0||T>=r.outDepth||Math.floor(T)!==T))for(var N=0;N<h;N+=c){var F=(k+N)/i;if(!(F<0||F>=r.outHeight||Math.floor(F)!==F))for(var O=0;O<d;O+=l){var _=(S+O)/s;if(!(_<0||_>=r.outWidth||Math.floor(_)!==_)){var M=p*h*d-1-x.get(b,T,F,_,w)===D*h*d+N*d+O?1:0;0!==M&&(A+=y.get(b,T,F,_,w)*M)}}}}g.set(A,b,C,E,R,w)}return g.toTensor()},e.prototype.cast=function(t,e){return To(t,e,this)},e.prototype.reshape=function(t,e){return No(t,e)},e.prototype.avgPool=function(t,e){return Ap(t,"avgPool"),this.pool(t,e,"avg").toFloat()},e.prototype.resizeBilinear=function(t,e,n,r){Ap(t,"resizeBilinear");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(R([a,e,n,u])),p=[r&&e>1?i-1:i,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],d=0,f=p[0]/h[0],v=p[1]/h[1],m=0;m<a;m++)for(var g=0;g<e;g++)for(var x=f*g,y=Math.floor(x),b=x-y,w=Math.min(i-1,Math.ceil(x)),C=m*t.strides[0]+y*t.strides[1],E=m*t.strides[0]+w*t.strides[1],I=0;I<n;I++)for(var k=v*I,S=Math.floor(k),A=k-S,D=Math.min(s-1,Math.ceil(k)),T=C+S*t.strides[2],N=E+S*t.strides[2],F=C+ +D*t.strides[2],O=E+D*t.strides[2],_=0;_<u;_++){var M=c[T+_],B=c[N+_],P=M+(c[F+_]-M)*A,L=P+(B+(c[O+_]-B)*A-P)*b;l[d++]=L}return Dn(l,[a,e,n,u])},e.prototype.resizeBilinearBackprop=function(t,e,n){Ap([t,e],"resizeBilinearBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],p=new Float32Array(o*a*i*s),h=[n&&c>1?a-1:a,n&&l>1?i-1:i],d=[n&&c>1?c-1:c,n&&l>1?l-1:l],f=h[0]/d[0],v=h[1]/d[1],m=this.readSync(t.dataId),g=0,x=0;x<o;x++)for(var y=x*e.strides[0],b=0;b<c;b++)for(var w=b*f,C=Math.floor(w),E=Math.min(Math.ceil(w),a-1),R=y+C*e.strides[1],I=y+E*e.strides[1],k=w-C,S=1-k,A=0;A<l;A++)for(var D=A*v,T=Math.floor(D),N=Math.min(Math.ceil(D),i-1),F=D-T,O=1-F,_=R+T*e.strides[2],M=R+N*e.strides[2],B=I+T*e.strides[2],P=I+N*e.strides[2],L=S*O,W=S*F,U=k*O,z=k*F,V=0;V<s;V++){var G=m[g++];p[_+V]+=G*L,p[M+V]+=G*W,p[B+V]+=G*U,p[P+V]+=G*z}return Mn(p,[o,i,a,s],e.dtype)},e.prototype.resizeNearestNeighbor=function(t,e,n,r){Ap(t,"resizeNearestNeighbor");for(var o=t.shape,a=o[0],i=o[1],s=o[2],u=o[3],c=this.readSync(t.dataId),l=new Float32Array(a*e*n*u),p=[r&&e>1?i-1:i,r&&n>1?s-1:s],h=[r&&e>1?e-1:e,r&&n>1?n-1:n],d=p[0]/h[0],f=p[1]/h[1],v=0,m=0;m<a;m++)for(var g=m*t.strides[0],x=0;x<e;x++)for(var y=d*x,b=g+Math.min(i-1,r?Math.round(y):Math.floor(y))*t.strides[1],w=0;w<n;w++)for(var C=f*w,E=b+Math.min(s-1,r?Math.round(C):Math.floor(C))*t.strides[2],R=0;R<u;R++){var I=c[E+R];l[v++]=I}return Dn(l,[a,e,n,u],t.dtype)},e.prototype.resizeNearestNeighborBackprop=function(t,e,n){Ap([t,e],"resizeNearestNeighborBackprop");for(var r=e.shape,o=r[0],a=r[1],i=r[2],s=r[3],u=t.shape,c=u[1],l=u[2],p=new Float32Array(o*a*i*s),h=this.readSync(t.dataId),d=[n&&c>1?a-1:a,n&&l>1?i-1:i],f=[n&&c>1?c-1:c,n&&l>1?l-1:l],v=d[0]/f[0],m=d[1]/f[1],g=1/v,x=1/m,y=2*Math.ceil(g)+2,b=2*Math.ceil(x)+2,w=0;w<o;w++)for(var C=w*e.strides[0],E=0;E<a;E++)for(var R=C+E*e.strides[1],I=Math.floor(E*g),k=Math.floor(I-y/2),S=0;S<i;S++)for(var A=R+S*e.strides[2],D=Math.floor(S*x),T=Math.floor(D-b/2),N=0;N<s;N++){for(var F=0,O=0;O<y;O++){var _=O+k;if(!(_<0||_>=c)){var M=C+_*t.strides[1],B=_*v;if(E===Math.min(a-1,n?Math.round(B):Math.floor(B)))for(var P=0;P<b;P++){var L=P+T;if(!(L<0||L>=l)){var W=M+L*t.strides[2],U=L*m;S===Math.min(i-1,n?Math.round(U):Math.floor(U))&&(F+=h[W+N])}}}}p[A+N]=F}return Mn(p,e.shape,e.dtype)},e.prototype.batchNormalization=function(t,e,n,r,o,a){Ap([t,e,n,o,a],"batchNorm");for(var i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=this.readSync(n.dataId),c=o?this.readSync(o.dataId):new Float32Array([1]),l=a?this.readSync(a.dataId):new Float32Array([0]),p=new Float32Array(i.length),h=l.length,d=c.length,f=u.length,v=s.length,m=0,g=0,x=0,y=0,b=0;b<i.length;++b)p[b]=l[m++]+(i[b]-s[g++])*c[x++]/Math.sqrt(u[y++]+r),m>=h&&(m=0),g>=v&&(g=0),x>=d&&(x=0),y>=f&&(y=0);return Mn(p,t.shape)},e.prototype.localResponseNormalization4D=function(t,e,n,r,o){Ap(t,"localResponseNormalization4D");var a=t.shape[3],i=a-1,s=this.readSync(t.dataId),u=t.size,c=new Float32Array(u);function l(t){for(var n=t%a,r=t-n+Math.max(0,n-e),o=t-n+Math.min(n+e,i),u=0;r<=o;r++){var c=s[r];u+=c*c}return u}for(var p=0;p<u;p++){var h=l(p),d=s[p]*Math.pow(n+r*h,-o);c[p]=d}return Mn(c,t.shape)},e.prototype.LRNGrad=function(t,e,n,r,o,a,i){Ap(t,"LRNGrad");for(var s=t.shape[3],u=this.readSync(t.dataId),c=this.readSync(e.dataId),l=this.readSync(n.dataId),p=new Float32Array(t.size),h=t.size,d=0;d<h;d++){for(var f=d%s,v=d-f+Math.max(0,f-r),m=d-f+Math.min(s,f+r+1),g=0,x=v;x<m;x++)g+=Math.pow(c[x],2);for(g=a*g+o,x=v;x<m;x++){var y=-2*a*i*c[x]*l[d]/g;d===x&&(y+=Math.pow(g,-i)),y*=u[d],p[x]+=y}}return Mn(p,t.shape)},e.prototype.multinomial=function(t,e,n,r){Ap(t,"multinomial");for(var o=e?t:co(t),a=o.shape[0],i=o.shape[1],s=Un([a,n],"int32"),u=this.readSync(s.dataId),c=this.readSync(o.dataId),l=0;l<a;++l){var p=l*i,h=new Float32Array(i-1);h[0]=c[p];for(var d=1;d<h.length;++d)h[d]=h[d-1]+c[p+d];for(var f=ir(r.toString()),v=l*n,m=0;m<n;++m){var g=f();u[v+m]=h.length;for(var x=0;x<h.length;x++)if(g<h[x]){u[v+m]=x;break}}}return s},e.prototype.oneHot=function(t,e,n,r){Ap(t,"oneHot");var o=new Float32Array(t.size*e);o.fill(r);for(var a=this.readSync(t.dataId),i=0;i<t.size;++i)a[i]>=0&&a[i]<e&&(o[i*e+a[i]]=n);return On(o,[t.size,e],"int32")},e.prototype.nonMaxSuppression=function(t,e,n,r,o){return Ap(t,"nonMaxSuppression"),Lo(this.readSync(t.dataId),this.readSync(e.dataId),n,r,o)},e.prototype.fft=function(t){return this.fftBatch(t,!1)},e.prototype.ifft=function(t){return this.fftBatch(t,!0)},e.prototype.fftBatch=function(t,e){for(var n=t.shape[0],r=t.shape[1],o=lr(t.shape,"float32"),a=lr(t.shape,"float32"),i=Sn(t).as2D(n,r),s=An(t).as2D(n,r),u=0;u<n;u++)for(var c=i.slice([u,0],[1,r]),l=s.slice([u,0],[1,r]),p=kn(c,l),h=this.readSync(this.fftImpl(p,e).dataId),d=0;d<r;d++){var f=Mo(h,d);o.values[u*r+d]=f.real,a.values[u*r+d]=f.imag}return kn(o.toTensor(),a.toTensor()).as2D(n,r)},e.prototype.fftImpl=function(t,e){var n=t.as1D(),r=n.size;if(this.isExponentOf2(r)){var o=this.fftRadix2(n,r,e).as2D(t.shape[0],t.shape[1]);return e&&(o=kn(Sn(o).div(Nn(r)),An(o).div(Nn(r)))),o}var a=this.readSync(t.dataId),i=function(t){for(var e=new Float32Array(t.length/2),n=new Float32Array(t.length/2),r=0;r<t.length;r+=2)e[r/2]=t[r],n[r/2]=t[r+1];return{real:e,imag:n}}(this.fourierTransformByMatmul(a,r,e));return kn(i.real,i.imag).as2D(t.shape[0],t.shape[1])},e.prototype.isExponentOf2=function(t){return 0==(t&t-1)},e.prototype.fftRadix2=function(t,e,n){if(1===e)return t;var r=this.readSync(t.dataId),o=e/2,a=function(t){for(var e=Math.ceil(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=0;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),i=kn(a.real,a.imag).as1D(),s=function(t){for(var e=Math.floor(t.length/4),n=new Float32Array(e),r=new Float32Array(e),o=2;o<t.length;o+=4)n[Math.floor(o/4)]=t[o],r[Math.floor(o/4)]=t[o+1];return{real:n,imag:r}}(r),u=kn(s.real,s.imag).as1D();i=this.fftRadix2(i,o,n),u=this.fftRadix2(u,o,n);var c=function(t,e){for(var n=new Float32Array(t/2),r=new Float32Array(t/2),o=0;o<Math.ceil(t/2);o++){var a=(e?2:-2)*Math.PI*(o/t);n[o]=Math.cos(a),r[o]=Math.sin(a)}return{real:n,imag:r}}(e,n),l=kn(c.real,c.imag).mul(u),p=i.add(l),h=i.sub(l),d=Sn(p).concat(Sn(h)),f=An(p).concat(An(h));return kn(d,f).as1D()},e.prototype.fourierTransformByMatmul=function(t,e,n){for(var r=new Float32Array(2*e),o=0;o<e;o++){for(var a=0,i=0,s=0;s<e;s++){var u=Po(o*s,e,n),c=Mo(t,s);a+=c.real*u.real-c.imag*u.imag,i+=c.real*u.imag+c.imag*u.real}n&&(a/=e,i/=e),Bo(r,a,i,o)}return r},e.prototype.depthToSpace=function(t,e,n){b("NHWC"===n,function(){return"Only NHWC dataFormat supported on CPU for depthToSpace. Got "+n}),b(e>1,function(){return"blockSize should be > 1 for depthToSpace, but was: "+e});for(var r=t.shape[0],o=t.shape[1],a=t.shape[2],i=t.shape[3],s=o*e,u=a*e,c=i/(e*e),l=this.readSync(t.dataId),p=new Float32Array(r*s*u*c),h=0,d=0;d<r;++d)for(var f=0;f<s;++f)for(var v=Math.floor(f/e),m=f%e,g=0;g<u;++g)for(var x=Math.floor(g/e),y=(m*e+g%e)*c,w=0;w<c;++w){var C=w+y+i*(x+a*(v+o*d));p[h++]=l[C]}return Mn(p,[r,s,u,c])},e.prototype.broadcastedBinaryOp=function(t,e,n,r){var o=go(t.shape,e.shape),a=lr(o,n),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=vo(t.shape,o),c=vo(e.shape,o),l=a.values;if(u.length+c.length===0)for(var p=0;p<l.length;++p)l[p]=r(i[p%i.length],s[p%s.length]);else{var h=this.bufferSync(t),d=this.bufferSync(e),f=function(n){var o=a.indexToLoc(n),p=o.slice(-t.rank);u.forEach(function(t){return p[t]=0});var f=h.locToIndex(p),v=o.slice(-e.rank);c.forEach(function(t){return v[t]=0});var m=d.locToIndex(v);l[n]=r(i[f],s[m])};for(p=0;p<l.length;++p)f(p)}return a.toTensor()},e.prototype.broadcastedBinaryComplexOp=function(t,e,n){var r=go(t.shape,e.shape),o=lr(r,"float32"),a=lr(r,"float32"),i=this.readSync(t.dataId),s=this.readSync(e.dataId),u=vo(t.shape,r),c=vo(e.shape,r),l=o.values,p=a.values;if(u.length+c.length===0)for(var h=0;h<l.length;h++){var d=h%i.length,f=h%s.length,v=n(i[2*d],i[2*d+1],s[2*f],s[2*f+1]);l[h]=v.real,p[h]=v.imag}else{var m=this.bufferSync(this.data.get(t.dataId).complexTensors.real),g=this.bufferSync(this.data.get(e.dataId).complexTensors.real),x=function(r){var a=o.indexToLoc(r),h=a.slice(-t.rank);u.forEach(function(t){return h[t]=0});var d=m.locToIndex(h),f=a.slice(-e.rank);c.forEach(function(t){return f[t]=0});var v=g.locToIndex(f),x=n(i[2*d],i[2*d+1],s[2*v],s[2*v+1]);l[r]=x.real,p[r]=x.imag};for(h=0;h<l.length;h++)x(h)}return this.complex(o.toTensor(),a.toTensor())},e.prototype.split=function(t,e,n){return Uo(t,e,n)},e.prototype.dispose=function(){},e.prototype.floatPrecision=function(){return 32},e.prototype.epsilon=function(){return 1e-7},e.prototype.cropAndResize=function(t,e,n,r,o,a){for(var i=t.shape,s=i[0],u=i[1],c=i[2],l=i[3],p=e.shape[0],h=r[0],d=r[1],f=lr([p,h,d,l],t.dtype),v=this.readSync(e.dataId),m=this.readSync(n.dataId),g=this.readSync(t.dataId),x=t.strides,y=f.strides,b=0;b<p;b++){var w=4*b,C=v[w],E=v[w+1],R=v[w+2],I=v[w+3],k=m[b];if(!(k>=s))for(var S=h>1?(R-C)*(u-1)/(h-1):0,A=d>1?(I-E)*(c-1)/(d-1):0,D=0;D<h;D++){var T=h>1?C*(u-1)+D*S:.5*(C+R)*(u-1);if(T<0||T>u-1)for(var N=0;N<d;N++)for(var F=0;F<l;F++){var O=F+N*y[2]+D*y[1]+b*y[0];f.values[O]=a}else if("bilinear"===o){var _=Math.floor(T),M=Math.ceil(T),B=T-_;for(N=0;N<d;N++)if((q=d>1?E*(c-1)+N*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++)O=F+N*y[2]+D*y[1]+b*y[0],f.values[O]=a;else{var P=Math.floor(q),L=Math.ceil(q),W=q-P;for(F=0;F<l;F++){var U=g[O=F+P*x[2]+_*x[1]+k*x[0]],z=g[O=F+L*x[2]+_*x[1]+k*x[0]],V=g[O=F+P*x[2]+M*x[1]+k*x[0]],G=U+(z-U)*W,H=V+(g[O=F+L*x[2]+M*x[1]+k*x[0]]-V)*W;O=F+N*y[2]+D*y[1]+b*y[0],f.values[O]=G+(H-G)*B}}}else for(N=0;N<d;++N){var q;if((q=d>1?E*(c-1)+N*A:.5*(E+I)*(c-1))<0||q>c-1)for(F=0;F<l;F++)O=F+N*y[2]+D*y[1]+b*y[0],f.values[O]=a;else{var K=Math.round(q),j=Math.round(T);for(F=0;F<l;F++){var X=F+K*x[2]+j*x[1]+k*x[0],$=F+N*y[2]+D*y[1]+b*y[0];f.values[$]=g[X]}}}}}return f.toTensor()},e.prototype.sparseToDense=function(t,e,n,r){var o=jr(0,t,n),a=o.sliceRank,i=o.numUpdates,s=o.sliceSize,u=o.strides,c=o.outputSize;return this.scatter(t,e,n,c,s,i,a,u,r,!1)},e.prototype.gatherND=function(t,e){var n=e.shape,r=n[n.length-1],o=Gr(t,e),a=o[0],i=o[1],s=o[2],u=o[3];if(0===i)return Dn([],a,t.dtype);for(var c=new dt([i,s],t.dtype),l=this.readSync(e.dataId),p=this.readSync(t.dataId),h=0;h<i;h++){for(var d=[],f=0,v=0;v<r;v++){var m=l[h*r+v];f+=m*u[v],d.push(m)}if(f<0||f>=t.size/s)throw new Error("Invalid indices: 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x=p[f*i+g];v.push(x),m+=x*s[g]}if(m<0||m>=r/o)throw new Error("Invalid indices: "+v+" does not index into "+n);for(var y=0;y<o;y++)c?d.values[m*o+y]+=h[f*o+y]:d.values[m*o+y]=0===e.rank?h[0]:h[f*o+y]}return d.toTensor().reshape(n)},e}(ho);_t.registerBackend("cpu",function(){return new Tp},1),d({kernelName:"Square",backendName:"cpu",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n;Ap(r,"square");for(var a=o.data.get(r.dataId).values,i=new Float32Array(a.length),s=0;s<a.length;++s){var u=a[s];i[s]=u*u}return{dataId:o.write(i,r.shape,r.dtype),shape:r.shape,dtype:r.dtype}}}),d({kernelName:"Square",backendName:"webgl",kernelFunc:function(t){var e=t.inputs,n=t.backend,r=e.x,o=n,a=new ps(r.shape,"return x * x;");return o.runWebGLProgram(a,[r],r.dtype)}});var Np=function(){function t(){}return t.prototype.fetch=function(t,e){return fetch(t,e)},t.prototype.now=function(){return performance.now()},t.prototype.encode=function(t,e){if("utf-8"!==e&&"utf8"!==e)throw new Error("Browser's encoder only supports utf-8, but got "+e);return null==this.textEncoder&&(this.textEncoder=new TextEncoder),this.textEncoder.encode(t)},t.prototype.decode=function(t,e){return new TextDecoder(e).decode(t)},t}();u().get("IS_BROWSER")&&u().setPlatform("browser",new Np);var Fp,Op=function(){return require("node-fetch")},_p=function(){function t(){this.util=require("util"),this.textEncoder=new this.util.TextEncoder}return t.prototype.fetch=function(t,e){return null!=u().global.fetch?u().global.fetch(t,e):(null==Fp&&(Fp=Op()),Fp(t,e))},t.prototype.now=function(){var t=e.hrtime();return 1e3*t[0]+t[1]/1e6},t.prototype.encode=function(t,e){if("utf-8"!==e&&"utf8"!==e)throw new Error("Node built-in encoder only supports utf-8, but got "+e);return this.textEncoder.encode(t)},t.prototype.decode=function(t,e){return 0===t.length?"":new this.util.TextDecoder(e).decode(t)},t}();u().get("IS_NODE")&&u().setPlatform("node",new _p);var Mp={float32:4,int32:4,uint16:2,uint8:1,bool:1},Bp=4;function Pp(t,e){for(var n={},r=0,o=function(e){var o=e.name,a=e.dtype,i=e.shape,s=R(i),u=void 0;if("quantization"in e){var c=e.quantization;if("uint8"!==c.dtype&&"uint16"!==c.dtype)throw new Error("Weight "+e.name+" has unknown quantization dtype "+c.dtype+". 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Supported schemes are: "+Kp.getSchemes().join(","));return{scheme:t.split(qp)[0],path:t.split(qp)[1]}}function Xp(t,e,n){return void 0===n&&(n=!1),a(this,void 0,void 0,function(){var r,o,a,s,u,c,l,p,h;return i(this,function(i){switch(i.label){case 0:return b(t!==e,function(){return"Old path and new path are the same: '"+t+"'"}),b((r=Hp.getLoadHandlers(t)).length>0,function(){return"Copying failed because no load handler is found for source URL "+t+"."}),b(r.length<2,function(){return"Copying failed because more than one ("+r.length+") load handlers for source URL "+t+"."}),o=r[0],b((a=Hp.getSaveHandlers(e)).length>0,function(){return"Copying failed because no save handler is found for destination URL "+e+"."}),b(a.length<2,function(){return"Copying failed because more than one ("+r.length+") save handlers for destination URL "+e+"."}),s=a[0],u=jp(t).scheme,c=jp(t).path,l=u===jp(t).scheme,[4,o.load()];case 1:return p=i.sent(),n&&l?[4,Kp.getManager(u).removeModel(c)]:[3,3];case 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u,c=Gp(e),l=a.transaction(Yp,"readwrite"),p=l.objectStore(Yp),h=p.put({modelPath:n.modelPath,modelArtifactsInfo:c});h.onsuccess=function(){var o=(u=a.transaction($p,"readwrite")).objectStore($p).put({modelPath:n.modelPath,modelArtifacts:e,modelArtifactsInfo:c});o.onsuccess=function(){return t({modelArtifactsInfo:c})},o.onerror=function(t){var e=(p=l.objectStore(Yp)).delete(n.modelPath);e.onsuccess=function(){return a.close(),r(o.error)},e.onerror=function(t){return a.close(),r(o.error)}}},h.onerror=function(t){return a.close(),r(h.error)},l.oncomplete=function(){null==u?a.close():u.oncomplete=function(){return a.close()}}}},o.onerror=function(t){return r(o.error)}})},t.URL_SCHEME="indexeddb://",t}(),th=function(t){return u().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(Zp.URL_SCHEME)?(e=t.slice(Zp.URL_SCHEME.length),new Zp(e)):null;var e};Hp.registerSaveRouter(th),Hp.registerLoadRouter(th);var eh=function(){function t(){this.indexedDB=Qp()}return t.prototype.listModels=function(){return a(this,void 0,void 0,function(){var t=this;return i(this,function(e){return[2,new Promise(function(e,n){var r=t.indexedDB.open("tensorflowjs",1);r.onupgradeneeded=function(){return Jp(r)},r.onsuccess=function(){var t=r.result,o=t.transaction(Yp,"readonly"),a=o.objectStore(Yp).getAll();a.onsuccess=function(){for(var t={},n=0,r=a.result;n<r.length;n++){var o=r[n];t[o.modelPath]=o.modelArtifactsInfo}e(t)},a.onerror=function(e){return t.close(),n(a.error)},o.oncomplete=function(){return t.close()}},r.onerror=function(t){return n(r.error)}})]})})},t.prototype.removeModel=function(t){return a(this,void 0,void 0,function(){var e=this;return i(this,function(n){var r;return t=(r=t).startsWith(Zp.URL_SCHEME)?r.slice(Zp.URL_SCHEME.length):r,[2,new Promise(function(n,r){var o=e.indexedDB.open("tensorflowjs",1);o.onupgradeneeded=function(){return Jp(o)},o.onsuccess=function(){var e,a=o.result,i=a.transaction(Yp,"readwrite"),s=i.objectStore(Yp),u=s.get(t);u.onsuccess=function(){if(null==u.result)return a.close(),r(new Error("Cannot find model with path '"+t+"' in IndexedDB."));var o=s.delete(t),i=function(){var o=(e=a.transaction($p,"readwrite")).objectStore($p).delete(t);o.onsuccess=function(){return n(u.result.modelArtifactsInfo)},o.onerror=function(t){return r(u.error)}};o.onsuccess=i,o.onerror=function(t){return i(),a.close(),r(u.error)}},u.onerror=function(t){return a.close(),r(u.error)},i.oncomplete=function(){null==e?a.close():e.oncomplete=function(){return a.close()}}},o.onerror=function(t){return r(o.error)}})]})})},t}();if(u().getBool("IS_BROWSER"))try{Kp.registerManager(Zp.URL_SCHEME,new eh)}catch(r){}var nh="/",rh="tensorflowjs_models",oh="info",ah="model_topology",ih="weight_specs",sh="weight_data",uh="model_metadata";function ch(t){return{info:[rh,t,oh].join(nh),topology:[rh,t,ah].join(nh),weightSpecs:[rh,t,ih].join(nh),weightData:[rh,t,sh].join(nh),modelMetadata:[rh,t,uh].join(nh)}}function lh(t){var e=t.split(nh);if(e.length<3)throw new Error("Invalid key format: "+t);return e.slice(1,e.length-1).join(nh)}var ph=function(){function t(t){if(!u().getBool("IS_BROWSER")||void 0===window.localStorage)throw new Error("The current environment does not support local storage.");if(this.LS=window.localStorage,null==t||!t)throw new Error("For local storage, modelPath must not be null, undefined or empty.");this.modelPath=t,this.keys=ch(this.modelPath)}return t.prototype.save=function(t){return a(this,void 0,void 0,function(){var e,r,o;return i(this,function(a){if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserLocalStorage.save() does not support saving model topology in binary formats yet.");e=JSON.stringify(t.modelTopology),r=JSON.stringify(t.weightSpecs),o=Gp(t);try{return this.LS.setItem(this.keys.info,JSON.stringify(o)),this.LS.setItem(this.keys.topology,e),this.LS.setItem(this.keys.weightSpecs,r),this.LS.setItem(this.keys.weightData,(i=t.weightData,Wp?n.from(i).toString("base64"):btoa(String.fromCharCode.apply(null,new Uint8Array(i))))),this.LS.setItem(this.keys.modelMetadata,JSON.stringify({format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy})),[2,{modelArtifactsInfo:o}]}catch(t){throw this.LS.removeItem(this.keys.info),this.LS.removeItem(this.keys.topology),this.LS.removeItem(this.keys.weightSpecs),this.LS.removeItem(this.keys.weightData),this.LS.removeItem(this.keys.modelMetadata),new Error("Failed to save model '"+this.modelPath+"' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes="+o.modelTopologyBytes+", weightSpecsBytes="+o.weightSpecsBytes+", weightDataBytes="+o.weightDataBytes+".")}var i;return[2]})})},t.prototype.load=function(){return a(this,void 0,void 0,function(){var t,e,r,o,a,s,u;return i(this,function(i){if(null==(t=JSON.parse(this.LS.getItem(this.keys.info))))throw new Error("In local storage, there is no model with name '"+this.modelPath+"'");if("JSON"!==t.modelTopologyType)throw new Error("BrowserLocalStorage does not support loading non-JSON model topology yet.");if(e={},null==(r=JSON.parse(this.LS.getItem(this.keys.topology))))throw new Error("In local storage, the topology of model '"+this.modelPath+"' is missing.");if(e.modelTopology=r,null==(o=JSON.parse(this.LS.getItem(this.keys.weightSpecs))))throw new Error("In local storage, the weight specs of model '"+this.modelPath+"' are missing.");if(e.weightSpecs=o,null!=(a=this.LS.getItem(this.keys.modelMetadata))&&(s=JSON.parse(a),e.format=s.format,e.generatedBy=s.generatedBy,e.convertedBy=s.convertedBy),null==(u=this.LS.getItem(this.keys.weightData)))throw new Error("In local storage, the binary weight values of model '"+this.modelPath+"' are missing.");return e.weightData=function(t){if(Wp){var e=n.from(t,"base64");return e.buffer.slice(e.byteOffset,e.byteOffset+e.byteLength)}for(var r=atob(t),o=new Uint8Array(r.length),a=0;a<r.length;++a)o.set([r.charCodeAt(a)],a);return o.buffer}(u),[2,e]})})},t.URL_SCHEME="localstorage://",t}(),hh=function(t){return u().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(ph.URL_SCHEME)?(e=t.slice(ph.URL_SCHEME.length),new ph(e)):null;var e};Hp.registerSaveRouter(hh),Hp.registerLoadRouter(hh);var dh=function(){function t(){b(u().getBool("IS_BROWSER"),function(){return"Current environment is not a web browser"}),b(void 0!==window.localStorage,function(){return"Current browser does not appear to support localStorage"}),this.LS=window.localStorage}return t.prototype.listModels=function(){return a(this,void 0,void 0,function(){var t,e,n,r,o,a;return i(this,function(i){for(t={},e=rh+nh,n=nh+oh,r=0;r<this.LS.length;++r)(o=this.LS.key(r)).startsWith(e)&&o.endsWith(n)&&(a=lh(o),t[a]=JSON.parse(this.LS.getItem(o)));return[2,t]})})},t.prototype.removeModel=function(t){return a(this,void 0,void 0,function(){var e,n;return i(this,function(r){var o;if(t=(o=t).startsWith(ph.URL_SCHEME)?o.slice(ph.URL_SCHEME.length):o,e=ch(t),null==this.LS.getItem(e.info))throw new Error("Cannot find model at path '"+t+"'");return n=JSON.parse(this.LS.getItem(e.info)),this.LS.removeItem(e.info),this.LS.removeItem(e.topology),this.LS.removeItem(e.weightSpecs),this.LS.removeItem(e.weightData),[2,n]})})},t}();if(u().getBool("IS_BROWSER"))try{Kp.registerManager(ph.URL_SCHEME,new dh)}catch(r){}var fh="model",vh=".json",mh=".weights.bin";function gh(t){return new Promise(function(t){return setTimeout(t)}).then(t)}var xh=function(){function t(e){if(!u().getBool("IS_BROWSER"))throw new Error("browserDownloads() cannot proceed because the current environment is not a browser.");e.startsWith(t.URL_SCHEME)&&(e=e.slice(t.URL_SCHEME.length)),null!=e&&0!==e.length||(e=fh),this.modelTopologyFileName=e+vh,this.weightDataFileName=e+mh}return t.prototype.save=function(t){return a(this,void 0,void 0,function(){var e,n,r,o,a,s;return i(this,function(i){switch(i.label){case 0:if("undefined"==typeof document)throw new Error("Browser downloads are not supported in this environment since `document` is not present");if(e=window.URL.createObjectURL(new Blob([t.weightData],{type:"application/octet-stream"})),!(t.modelTopology instanceof ArrayBuffer))return[3,1];throw new Error("BrowserDownloads.save() does not support saving model topology in binary formats yet.");case 1:return n=[{paths:["./"+this.weightDataFileName],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,weightsManifest:n},o=window.URL.createObjectURL(new Blob([JSON.stringify(r)],{type:"application/json"})),(a=null==this.jsonAnchor?document.createElement("a"):this.jsonAnchor).download=this.modelTopologyFileName,a.href=o,[4,gh(function(){return a.dispatchEvent(new MouseEvent("click"))})];case 2:return i.sent(),null==t.weightData?[3,4]:((s=null==this.weightDataAnchor?document.createElement("a"):this.weightDataAnchor).download=this.weightDataFileName,s.href=e,[4,gh(function(){return s.dispatchEvent(new MouseEvent("click"))})]);case 3:i.sent(),i.label=4;case 4:return[2,{modelArtifactsInfo:Gp(t)}]}})})},t.URL_SCHEME="downloads://",t}(),yh=function(){function t(t){if(null==t||t.length<1)throw new Error("When calling browserFiles, at least 1 file is required, but received "+t);this.files=t}return t.prototype.load=function(){return a(this,void 0,void 0,function(){var t,e,n=this;return i(this,function(r){return t=this.files[0],e=this.files.slice(1),[2,new Promise(function(r,o){var a=new FileReader;a.onload=function(a){var i=JSON.parse(a.target.result),s=i.modelTopology;if(null!=s){0===e.length&&r({modelTopology:s});var u=i.weightsManifest;if(null!=u){var c;try{c=n.checkManifestAndWeightFiles(u,e)}catch(t){return void o(t)}var l=[],p=[],h=[];u.forEach(function(t){t.paths.forEach(function(t){p.push(t),h.push(null)}),l.push.apply(l,t.weights)}),u.forEach(function(t){t.paths.forEach(function(t){var e=new FileReader;e.onload=function(e){var n=e.target.result,o=p.indexOf(t);h[o]=n,-1===h.indexOf(null)&&r({modelTopology:s,weightSpecs:l,weightData:zp(h)})},e.onerror=function(e){return o("Failed to weights data from file of path '"+t+"'.")},e.readAsArrayBuffer(c[t])})})}else o(new Error("weightManifest field is missing from file "+t.name))}else o(new Error("modelTopology field is missing from file "+t.name))},a.onerror=function(e){return o("Failed to read model topology and weights manifest JSON from file '"+t.name+"'. BrowserFiles supports loading Keras-style tf.Model artifacts only.")},a.readAsText(t)})]})})},t.prototype.checkManifestAndWeightFiles=function(t,e){for(var n=[],r=e.map(function(t){return Vp(t.name)}),o={},a=0,i=t;a<i.length;a++)i[a].paths.forEach(function(t){var a=Vp(t);if(-1!==n.indexOf(a))throw new Error("Duplicate file basename found in weights manifest: '"+a+"'");if(n.push(a),-1===r.indexOf(a))throw new Error("Weight file with basename '"+a+"' is not provided.");o[t]=e[r.indexOf(a)]});if(n.length!==e.length)throw new Error("Mismatch in the number of files in weights manifest ("+n.length+") and the number of weight files provided ("+e.length+").");return o},t}();function bh(t,e,n,r){!function(t){b(null!=t&&Array.isArray(t)&&t.length>0,function(){return"promises must be a none empty array"})}(t),function(t,e){b(t>=0&&t<=1,function(){return"Progress fraction must be in range [0, 1], but got startFraction "+t}),b(e>=0&&e<=1,function(){return"Progress fraction must be in range [0, 1], 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function(n,r,o){return void 0===r&&(r=""),a(e,void 0,void 0,function(){var e,a,s,u,c,l,p,h,d,f;return i(this,function(i){switch(i.label){case 0:if(e=n.map(function(){return!1}),a={},s=null!=o?o.map(function(){return!1}):[],u=[],n.forEach(function(t,n){var r=0;t.weights.forEach(function(t){var i="quantization"in t?t.quantization.dtype:t.dtype,c=Mp[i]*R(t.shape),l=function(){e[n]=!0,null==a[n]&&(a[n]=[]),a[n].push({manifestEntry:t,groupOffset:r,sizeBytes:c})};null!=o?o.forEach(function(e,n){e===t.name&&(l(),s[n]=!0)}):l(),u.push(t.name),r+=c})}),!s.every(function(t){return t}))throw c=o.filter(function(t,e){return!s[e]}),new Error("Could not find weights in manifest with names: "+c.join(", ")+". \nManifest JSON has weights with names: "+u.join(", ")+".");return l=e.reduce(function(t,e,n){return e&&t.push(n),t},[]),p=[],l.forEach(function(t){n[t].paths.forEach(function(t){var e=r+(r.endsWith("/")?"":"/")+t;p.push(e)})}),[4,t(p)];case 1:return h=i.sent(),d={},f=0,l.forEach(function(t){for(var e=n[t].paths.length,r=0,o=0;o<e;o++)r+=h[f+o].byteLength;for(var i=new ArrayBuffer(r),s=new Uint8Array(i),u=0,c=0;c<e;c++){var l=new Uint8Array(h[f+c]);s.set(l,u),u+=l.byteLength}a[t].forEach(function(t){var e=Pp(i.slice(t.groupOffset,t.groupOffset+t.sizeBytes),[t.manifestEntry]);for(var n in e)d[n]=e[n]}),f+=e}),[2,d]}})})}}Hp.registerSaveRouter(function(t){return u().getBool("IS_BROWSER")&&!Array.isArray(t)&&t.startsWith(xh.URL_SCHEME)?(void 0===(e=t.slice(xh.URL_SCHEME.length))&&(e="model"),new xh(e)):null;var e});var Eh=function(){function t(t,e){if(this.DEFAULT_METHOD="POST",null==e&&(e={}),this.weightPathPrefix=e.weightPathPrefix,this.onProgress=e.onProgress,null!=e.fetchFunc?(b("function"==typeof e.fetchFunc,function(){return"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)"}),this.fetch=e.fetchFunc):this.fetch=u().platform.fetch,b(null!=t&&t.length>0,function(){return"URL path for http must not be null, undefined or empty."}),Array.isArray(t)&&b(2===t.length,function(){return"URL paths for http must have a length of 2, (actual length is "+t.length+")."}),this.path=t,null!=e.requestInit&&null!=e.requestInit.body)throw new Error("requestInit is expected to have no pre-existing body, but has one.");this.requestInit=e.requestInit||{}}return t.prototype.save=function(t){return a(this,void 0,void 0,function(){var e,n,r,o;return i(this,function(a){switch(a.label){case 0:if(t.modelTopology instanceof ArrayBuffer)throw new Error("BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.");return(e=Object.assign({method:this.DEFAULT_METHOD},this.requestInit)).body=new FormData,n=[{paths:["./model.weights.bin"],weights:t.weightSpecs}],r={modelTopology:t.modelTopology,format:t.format,generatedBy:t.generatedBy,convertedBy:t.convertedBy,userDefinedMetadata:t.userDefinedMetadata,weightsManifest:n},e.body.append("model.json",new Blob([JSON.stringify(r)],{type:"application/json"}),"model.json"),null!=t.weightData&&e.body.append("model.weights.bin",new Blob([t.weightData],{type:"application/octet-stream"}),"model.weights.bin"),[4,this.fetch(this.path,e)];case 1:if((o=a.sent()).ok)return[2,{modelArtifactsInfo:Gp(t),responses:[o]}];throw new Error("BrowserHTTPRequest.save() failed due to HTTP response status "+o.status+".")}})})},t.prototype.load=function(){return a(this,void 0,void 0,function(){var t,e,n,r,o,a,s,u;return i(this,function(i){switch(i.label){case 0:return[4,this.fetch(this.path,this.requestInit)];case 1:if(!(t=i.sent()).ok)throw new Error("Request to "+this.path+" failed with status code "+t.status+". Please verify this URL points to the model JSON of the model to load.");i.label=2;case 2:return i.trys.push([2,4,,5]),[4,t.json()];case 3:return e=i.sent(),[3,5];case 4:throw i.sent(),n="Failed to parse model JSON of response from "+this.path+".",this.path.endsWith(".pb")?n+=" Your path contains a .pb file extension. Support for .pb models have been removed in TensorFlow.js 1.0 in favor of .json models. You can re-convert your Python TensorFlow model using the TensorFlow.js 1.0 conversion scripts or you can convert your.pb models with the 'pb2json'NPM script in the tensorflow/tfjs-converter repository.":n+=" Please make sure the server is serving valid JSON for this request.",new Error(n);case 5:if(r=e.modelTopology,o=e.weightsManifest,null==r&&null==o)throw new Error("The JSON from HTTP path "+this.path+" contains neither model topology or manifest for weights.");return null==o?[3,7]:[4,this.loadWeights(o)];case 6:u=i.sent(),a=u[0],s=u[1],i.label=7;case 7:return[2,{modelTopology:r,weightSpecs:a,weightData:s}]}})})},t.prototype.loadWeights=function(t){return a(this,void 0,void 0,function(){var e,n,r,o,a,s,u,c,l,p,h;return i(this,function(i){switch(i.label){case 0:for(e=Array.isArray(this.path)?this.path[1]:this.path,n=function(t){var e=t.lastIndexOf("/"),n=t.lastIndexOf("?");return[t.substring(0,e)+"/",n>e?t.substring(n):""]}(e),r=n[0],o=n[1],a=this.weightPathPrefix||r,s=[],u=0,c=t;u<c.length;u++)l=c[u],s.push.apply(s,l.weights);return p=[],t.forEach(function(t){t.paths.forEach(function(t){p.push(a+t+o)})}),[4,wh(p,{requestInit:this.requestInit,fetchFunc:this.fetch,onProgress:this.onProgress})];case 1:return h=i.sent(),[2,[s,zp(h)]]}})})},t.URL_SCHEME_REGEX=/^https?:\/\//,t}();function Rh(t){return null!=t.match(Eh.URL_SCHEME_REGEX)}var Ih=function(t,e){return"undefined"==typeof fetch?null:(Array.isArray(t)?t.every(function(t){return Rh(t)}):Rh(t))?kh(t,{onProgress:e}):null};function kh(t,e){return new Eh(t,e)}Hp.registerSaveRouter(Ih),Hp.registerLoadRouter(Ih);var Sh=function(){function t(t){this.modelArtifacts=t}return t.prototype.load=function(){return a(this,void 0,void 0,function(){return i(this,function(t){return[2,this.modelArtifacts]})})},t}(),Ah=function(){function t(t){this.saveHandler=t}return t.prototype.save=function(t){return a(this,void 0,void 0,function(){return i(this,function(e){return[2,this.saveHandler(t)]})})},t}(),Dh=Object.freeze({browserFiles:function(t){return new yh(t)},browserHTTPRequest:function(t,e){return kh(t,e)},concatenateArrayBuffers:zp,decodeWeights:Pp,encodeWeights:function(t,e){return a(this,void 0,void 0,function(){var n,r,o,s,u,c=this;return i(this,function(l){switch(l.label){case 0:for(n=[],r=[],o=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t),s=function(s){var u=o[s],l=Array.isArray(t)?t[s].tensor:t[u];if("float32"!==l.dtype&&"int32"!==l.dtype&&"bool"!==l.dtype&&"string"!==l.dtype)throw new Error("Unsupported dtype in weight '"+u+"': "+l.dtype);var p={name:u,shape:l.shape,dtype:l.dtype};if("string"===l.dtype){var h=new Promise(function(t){return a(c,void 0,void 0,function(){var e,n,r,o,a,s,u;return i(this,function(i){switch(i.label){case 0:return[4,l.bytes()];case 1:for(e=i.sent(),n=e.reduce(function(t,e){return t+e.length},0)+Bp*e.length,r=new Uint8Array(n),o=0,a=0;a<e.length;a++)s=e[a],u=new Uint8Array(new Uint32Array([s.length]).buffer),r.set(u,o),o+=Bp,r.set(s,o),o+=s.length;return t(r),[2]}})})});r.push(h)}else r.push(l.data());null!=e&&(p.group=e),n.push(p)},u=0;u<o.length;++u)s(u);return[4,Promise.all(r)];case 1:return[2,{data:Lp(l.sent()),specs:n}]}})})},fromMemory:function(t,e,n,r){return 1===arguments.length?null!=t.modelTopology||null!=t.weightSpecs?new Sh(t):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new Sh({modelTopology:t})):(console.warn("Please call tf.io.fromMemory() with only one argument. The argument should be of type ModelArtifacts. The multi-argument signature of tf.io.fromMemory() has been deprecated and will be removed in a future release."),new Sh({modelTopology:t,weightSpecs:e,weightData:n,trainingConfig:r}))},getLoadHandlers:function(t,e){return Hp.getLoadHandlers(t,e)},getModelArtifactsInfoForJSON:Gp,getSaveHandlers:function(t){return Hp.getSaveHandlers(t)},http:kh,isHTTPScheme:Rh,loadWeights:function(t,e,n,r){return void 0===e&&(e=""),a(this,void 0,void 0,function(){return i(this,function(o){return[2,Ch(function(t){return wh(t,{requestInit:r})})(t,e,n)]})})},registerLoadRouter:function(t){return Hp.registerLoadRouter(t)},registerSaveRouter:function(t){return Hp.registerSaveRouter(t)},weightsLoaderFactory:Ch,withSaveHandler:function(t){return new Ah(t)},copyModel:function(t,e){return a(this,void 0,void 0,function(){return i(this,function(n){return[2,Xp(t,e,!1)]})})},listModels:function(){return a(this,void 0,void 0,function(){var t,e,n,r,o,a,s;return i(this,function(i){switch(i.label){case 0:t=Kp.getSchemes(),e={},n=0,r=t,i.label=1;case 1:return n<r.length?(o=r[n],[4,Kp.getManager(o).listModels()]):[3,4];case 2:for(s in a=i.sent())e[o+qp+s]=a[s];i.label=3;case 3:return n++,[3,1];case 4:return[2,e]}})})},moveModel:function(t,e){return a(this,void 0,void 0,function(){return i(this,function(n){return[2,Xp(t,e,!0)]})})},removeModel:function(t){return a(this,void 0,void 0,function(){var e;return i(this,function(n){return e=jp(t),[2,Kp.getManager(e.scheme).removeModel(e.path)]})})}});exports.io=Dh;var Th=In({confusionMatrix_:function(t,e,n){var r=dn(t,"labels","confusionMatrix"),o=dn(e,"predictions","confusionMatrix");b(null==n||n>0&&Number.isInteger(n),function(){return"If provided, numClasses must be a positive integer, but got "+n}),b(1===r.rank,function(){return"Expected the rank of labels to be 1, but got "+r.rank}),b(1===o.rank,function(){return"Expected the rank of predictions to be 1, but got "+o.rank}),b(r.shape[0]===o.shape[0],function(){return"Mismatch in the number of examples: "+r.shape[0]+" vs. "+o.shape[0]+". Labels and predictions should have the same number of elements."}),b(n>0&&Number.isInteger(n),function(){return"numClasses is required to be a positive integer, but got "+n});var a=br(r.asType("int32"),n),i=br(o.asType("int32"),n);return a.transpose().matMul(i).asType("int32")}}),Nh=Object.freeze({confusionMatrix:Th});exports.math=Nh;var Fh=In({fromPixels_:function(t,e){if(void 0===e&&(e=3),e>4)throw new Error("Cannot construct Tensor with more than 4 channels from pixels.");var n="undefined"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement;if(n&&n&&t.readyState<2)throw new Error("The video element has not loaded data yet. Please wait for `loadeddata` event on the <video> element.");return _t.fromPixels(t,e)}}),Oh=Object.freeze({toPixels:function(t,e){return a(this,void 0,void 0,function(){var n,r,o,a,s,u,c,l,p,h,d,f,v,m,g,x,y,b,w,C,E,R,I;return i(this,function(i){switch(i.label){case 0:if(n=dn(t,"img","toPixels"),t instanceof gt||(n=n.toInt()),2!==n.rank&&3!==n.rank)throw new Error("toPixels only supports rank 2 or 3 tensors, got rank "+n.rank+".");if(r=n.shape.slice(0,2),o=r[0],a=r[1],(s=2===n.rank?1:n.shape[2])>4||2===s)throw new Error("toPixels only supports depth of size 1, 3 or 4 but got "+s);return[4,n.data()];case 1:return u=i.sent(),c=n.min(),l=n.max(),[4,Promise.all([c.data(),l.data()])];case 2:if(p=i.sent(),h=p[0],d=p[1],f=h[0],v=d[0],c.dispose(),l.dispose(),"float32"===n.dtype){if(f<0||v>1)throw new Error("Tensor values for a float32 Tensor must be in the range [0 - 1] but got range ["+f+" - "+v+"].")}else{if("int32"!==n.dtype)throw new Error("Unsupported type for toPixels: "+n.dtype+". Please use float32 or int32 tensors.");if(f<0||v>255)throw new Error("Tensor values for a int32 Tensor must be in the range [0 - 255] but got range ["+f+" - "+v+"].")}for(m="float32"===n.dtype?255:1,g=new Uint8ClampedArray(a*o*4),x=0;x<o*a;++x)y=void 0,b=void 0,w=void 0,C=void 0,1===s?(y=u[x]*m,b=u[x]*m,w=u[x]*m,C=255):3===s?(y=u[3*x]*m,b=u[3*x+1]*m,w=u[3*x+2]*m,C=255):4===s&&(y=u[4*x]*m,b=u[4*x+1]*m,w=u[4*x+2]*m,C=u[4*x+3]*m),g[0+(E=4*x)]=Math.round(y),g[E+1]=Math.round(b),g[E+2]=Math.round(w),g[E+3]=Math.round(C);return null!=e&&(e.width=a,e.height=o,R=e.getContext("2d"),I=new ImageData(g,a,o),R.putImageData(I,0,0)),n!==t&&n.dispose(),[2,g]}})})},fromPixels:Fh}),_h=function(){function t(){}return t.prototype.getClassName=function(){return this.constructor.className},t.fromConfig=function(t,e){return new t(e)},t}(),Mh=function(){function t(){this.classNameMap={}}return t.getMap=function(){return null==t.instance&&(t.instance=new t),t.instance},t.register=function(e){t.getMap().classNameMap[e.className]=[e,e.fromConfig]},t}();function Bh(t){b(null!=t.className,function(){return"Class being registered does not have the static className property defined."}),b("string"==typeof t.className,function(){return"className is required to be a string, but got type "+typeof t.className}),b(t.className.length>0,function(){return"Class being registered has an empty-string as its className, which is disallowed."}),Mh.register(t)}exports.browser=Oh;var Ph=Object.freeze({Serializable:_h,SerializationMap:Mh,registerClass:Bh}),Lh=.001,Wh=.1;function Uh(){return 32===_t.backend.floatPrecision()?Lh:Wh}function zh(t,e,n){var r=!0;if((W(t)||W(e))&&(r=!1),W(t)&&W(e)&&(r=!0),r){var o=t.constructor.name,a=e.constructor.name;if(o!==a)throw new Error("Arrays are of different type. Actual: "+o+". Expected: "+a)}if(Array.isArray(t)&&Array.isArray(e)){var i=pn(t),s=pn(e);if(!I(i,s))throw new Error("Arrays have different shapes. Actual: ["+i+"]. Expected: ["+s+"]")}var u=W(t)?t:E(t),c=W(e)?e:E(e);if(u.length!==c.length)throw new Error("Arrays have different lengths actual: "+u.length+" vs expected: "+c.length+".\nActual:   "+u+".\nExpected: "+c+".");for(var l=0;l<c.length;++l){var p=u[l],h=c[l];if(!n(p,h))throw new Error("Arrays differ: actual["+l+"] = "+p+", expected["+l+"] = "+h+".\nActual:   "+u+".\nExpected: "+c+".")}}function Vh(t,e,n){return!isFinite(t)&&!isFinite(e)||!(isNaN(t)||isNaN(e)||Math.abs(t-e)>n)}exports.serialization=Ph;var Gh=Object.freeze({TEST_EPSILON_FLOAT16:Wh,expectArraysClose:function(t,e,n){return null==n&&(n=Uh()),zh(t,e,function(t,e){return Vh(t,e,n)})},testEpsilon:Uh,expectPromiseToFail:function(t,e){t().then(function(){return e.fail()},function(){return e()})},expectArraysEqual:function(t,e){var n="string"==typeof e||"number"==typeof e||"boolean"==typeof e?[e]:e;return V(t)||V(t[0])||V(e)||V(e[0])?zh(t,n,function(t,e){return t==e}):zh(t,e,function(t,e){return Vh(t,e,0)})},expectNumbersClose:function(t,e,n){if(null==n&&(n=Uh()),!Vh(t,e,n))throw new Error("Numbers differ: actual === "+t+", expected === "+e)},expectValuesInRange:function(t,e,n){for(var r=0;r<t.length;r++)if(t[r]<e||t[r]>n)throw new Error("Value out of range:"+t[r]+" low: "+e+", high: "+n)},expectArrayBuffersEqual:function(t,e){expect(new Float32Array(t)).toEqual(new Float32Array(e))}}),Hh="1.3.1";exports.version_core=Hh,exports.test_util=Gh;var qh=Object.freeze({gpgpu_util:Ri,webgl_util:Ue,forceHalfFloat:function(){u().set("WEBGL_FORCE_F16_TEXTURES",!0)},MathBackendWebGL:Vs,setWebGLContext:Vt,GPGPUContext:Ii}),Kh=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.minimize=function(t,e,n){void 0===e&&(e=!1);var r=this.computeGradients(t,n),o=r.value,a=r.grads;if(null!=n){var i=n.map(function(t){return{name:t.name,tensor:a[t.name]}});this.applyGradients(i)}else this.applyGradients(a);return Qe(a),e?o:(o.dispose(),null)},Object.defineProperty(e.prototype,"iterations",{get:function(){return null==this.iterations_&&(this.iterations_=0),this.iterations_},enumerable:!0,configurable:!0}),e.prototype.incrementIterations=function(){this.iterations_=this.iterations+1},e.prototype.computeGradients=function(t,e){return io(t,e)},e.prototype.dispose=function(){null!=this.iterations_&&Qe(this.iterations_)},e.prototype.saveIterations=function(){return a(this,void 0,void 0,function(){return i(this,function(t){return null==this.iterations_&&(this.iterations_=0),[2,{name:"iter",tensor:Nn(this.iterations_,"int32")}]})})},e.prototype.getWeights=function(){return a(this,void 0,void 0,function(){return i(this,function(t){throw new Error("getWeights() is not implemented for this optimizer yet.")})})},e.prototype.setWeights=function(t){return a(this,void 0,void 0,function(){return i(this,function(t){throw new Error("setWeights() is not implemented for this optimizer class "+this.getClassName())})})},e.prototype.extractIterations=function(t){return a(this,void 0,void 0,function(){var e;return i(this,function(n){switch(n.label){case 0:return e=this,[4,t[0].tensor.data()];case 1:return e.iterations_=n.sent()[0],[2,t.slice(1)]}})})},e}(_h);exports.Optimizer=Kh,exports.webgl=qh,Object.defineProperty(Kh,Symbol.hasInstance,{value:function(t){return null!=t.minimize&&null!=t.computeGradients&&null!=t.applyGradients}});var jh=function(t){function e(e,n,r){void 0===r&&(r=null);var o=t.call(this)||this;return o.learningRate=e,o.rho=n,o.epsilon=r,o.accumulatedGrads=[],o.accumulatedUpdates=[],null==r&&(o.epsilon=_t.backend.epsilon()),o}return o(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var o=_t.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accum_grad",variable:Ye(function(){return qn(o).variable(!1)})}),null==e.accumulatedUpdates[r]&&(e.accumulatedUpdates[r]={originalName:n+"/accum_var",variable:Ye(function(){return qn(o).variable(!1)})});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var i=e.accumulatedGrads[r].variable,s=e.accumulatedUpdates[r].variable;Ye(function(){var t=i.mul(e.rho).add(a.square().mul(1-e.rho)),n=s.add(e.epsilon).sqrt().div(i.add(e.epsilon).sqrt()).mul(a),r=s.mul(e.rho).add(n.square().mul(1-e.rho));i.assign(t),s.assign(r);var u=n.mul(-e.learningRate).add(o);o.assign(u)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedUpdates&&(Qe(this.accumulatedGrads.map(function(t){return t.variable})),Qe(this.accumulatedUpdates.map(function(t){return t.variable})))},e.prototype.getWeights=function(){return a(this,void 0,void 0,function(){var t;return i(this,function(e){switch(e.label){case 0:return t=this.accumulatedGrads.concat(this.accumulatedUpdates),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return a(this,void 0,void 0,function(){var e;return i(this,function(n){switch(n.label){case 0:return[4,this.extractIterations(t)];case 1:return t=n.sent(),e=t.length/2,this.accumulatedGrads=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedUpdates=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,rho:this.rho,epsilon:this.epsilon}},e.fromConfig=function(t,e){return new t(e.learningRate,e.rho,e.epsilon)},e.className="Adadelta",e}(Kh);exports.AdadeltaOptimizer=jh,Bh(jh);var Xh=function(t){function e(e,n){void 0===n&&(n=.1);var r=t.call(this)||this;return r.learningRate=e,r.initialAccumulatorValue=n,r.accumulatedGrads=[],r}return o(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var o=_t.registeredVariables[n];null==e.accumulatedGrads[r]&&(e.accumulatedGrads[r]={originalName:n+"/accumulator",variable:Ye(function(){return zn(o.shape,e.initialAccumulatorValue).variable(!1)})});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var i=e.accumulatedGrads[r].variable;Ye(function(){var t=i.add(a.square());i.assign(t);var n=a.div(t.add(_t.backend.epsilon()).sqrt()).mul(-e.learningRate).add(o);o.assign(n)})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedGrads&&Qe(this.accumulatedGrads.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return a(this,void 0,void 0,function(){return i(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(this.accumulatedGrads.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return a(this,void 0,void 0,function(){return i(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:return t=e.sent(),this.accumulatedGrads=t.map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,initialAccumulatorValue:this.initialAccumulatorValue}},e.fromConfig=function(t,e){return new t(e.learningRate,e.initialAccumulatorValue)},e.className="Adagrad",e}(Kh);exports.AdagradOptimizer=Xh,Bh(Xh);var $h=function(t){function e(e,n,r,o){void 0===o&&(o=null);var a=t.call(this)||this;return a.learningRate=e,a.beta1=n,a.beta2=r,a.epsilon=o,a.accumulatedFirstMoment=[],a.accumulatedSecondMoment=[],Ye(function(){a.accBeta1=Nn(n).variable(),a.accBeta2=Nn(r).variable()}),null==o&&(a.epsilon=_t.backend.epsilon()),a}return o(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);Ye(function(){var r=cc(1,e.accBeta1),o=cc(1,e.accBeta2);n.forEach(function(n,a){var i=_t.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:Ye(function(){return qn(i).variable(!1)})}),null==e.accumulatedSecondMoment[a]&&(e.accumulatedSecondMoment[a]={originalName:n+"/v",variable:Ye(function(){return qn(i).variable(!1)})});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,c=e.accumulatedSecondMoment[a].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),p=c.mul(e.beta2).add(s.square().mul(1-e.beta2)),h=l.div(r),d=p.div(o);u.assign(l),c.assign(p);var f=h.div(d.sqrt().add(e.epsilon)).mul(-e.learningRate).add(i);i.assign(f)}}),e.accBeta1.assign(e.accBeta1.mul(e.beta1)),e.accBeta2.assign(e.accBeta2.mul(e.beta2))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.accBeta2.dispose(),null!=this.accumulatedFirstMoment&&Qe(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedSecondMoment&&Qe(this.accumulatedSecondMoment.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return a(this,void 0,void 0,function(){var t;return i(this,function(e){switch(e.label){case 0:return t=this.accumulatedFirstMoment.concat(this.accumulatedSecondMoment),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return a(this,void 0,void 0,function(){var e,n=this;return i(this,function(r){switch(r.label){case 0:return[4,this.extractIterations(t)];case 1:return t=r.sent(),Ye(function(){n.accBeta1.assign(ac(n.beta1,n.iterations_+1)),n.accBeta2.assign(ac(n.beta2,n.iterations_+1))}),e=t.length/2,this.accumulatedFirstMoment=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedSecondMoment=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon}},e.fromConfig=function(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon)},e.className="Adam",e}(Kh);exports.AdamOptimizer=$h,Bh($h);var Yh=function(t){function e(e,n,r,o,a){void 0===o&&(o=null),void 0===a&&(a=0);var i=t.call(this)||this;return i.learningRate=e,i.beta1=n,i.beta2=r,i.epsilon=o,i.decay=a,i.accumulatedFirstMoment=[],i.accumulatedWeightedInfNorm=[],Ye(function(){i.iteration=Nn(0).variable(),i.accBeta1=Nn(n).variable()}),null==o&&(i.epsilon=_t.backend.epsilon()),i}return o(e,t),e.prototype.applyGradients=function(t){var e=this,n=Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t);Ye(function(){var r=cc(1,e.accBeta1),o=Xu(-e.learningRate,e.iteration.mul(e.decay).add(1));n.forEach(function(n,a){var i=_t.registeredVariables[n];null==e.accumulatedFirstMoment[a]&&(e.accumulatedFirstMoment[a]={originalName:n+"/m",variable:qn(i).variable(!1)}),null==e.accumulatedWeightedInfNorm[a]&&(e.accumulatedWeightedInfNorm[a]={originalName:n+"/v",variable:qn(i).variable(!1)});var s=Array.isArray(t)?t[a].tensor:t[n];if(null!=s){var u=e.accumulatedFirstMoment[a].variable,c=e.accumulatedWeightedInfNorm[a].variable,l=u.mul(e.beta1).add(s.mul(1-e.beta1)),p=c.mul(e.beta2),h=s.abs(),d=p.maximum(h);u.assign(l),c.assign(d);var f=o.div(r).mul(l.div(d.add(e.epsilon))).add(i);i.assign(f)}}),e.iteration.assign(e.iteration.add(1)),e.accBeta1.assign(e.accBeta1.mul(e.beta1))}),this.incrementIterations()},e.prototype.dispose=function(){this.accBeta1.dispose(),this.iteration.dispose(),null!=this.accumulatedFirstMoment&&Qe(this.accumulatedFirstMoment.map(function(t){return t.variable})),null!=this.accumulatedWeightedInfNorm&&Qe(this.accumulatedWeightedInfNorm.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return a(this,void 0,void 0,function(){return i(this,function(t){throw new Error("getWeights() is not implemented for Adamax yet.")})})},e.prototype.setWeights=function(t){return a(this,void 0,void 0,function(){return i(this,function(t){throw new Error("setWeights() is not implemented for Adamax yet.")})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,beta1:this.beta1,beta2:this.beta2,epsilon:this.epsilon,decay:this.decay}},e.fromConfig=function(t,e){return new t(e.learningRate,e.beta1,e.beta2,e.epsilon,e.decay)},e.className="Adamax",e}(Kh);exports.AdamaxOptimizer=Yh,Bh(Yh);var Qh=function(t){function e(e){var n=t.call(this)||this;return n.learningRate=e,n.setLearningRate(e),n}return o(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var o=Array.isArray(t)?t[r].tensor:t[n];if(null!=o){var a=_t.registeredVariables[n];Ye(function(){var t=e.c.mul(o).add(a);a.assign(t)})}}),this.incrementIterations()},e.prototype.setLearningRate=function(t){this.learningRate=t,null!=this.c&&this.c.dispose(),this.c=Je(Nn(-t))},e.prototype.dispose=function(){this.c.dispose()},e.prototype.getWeights=function(){return a(this,void 0,void 0,function(){return i(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()]]}})})},e.prototype.setWeights=function(t){return a(this,void 0,void 0,function(){return i(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:if(0!==(t=e.sent()).length)throw new Error("SGD optimizer does not have settable weights.");return[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate}},e.fromConfig=function(t,e){return new t(e.learningRate)},e.className="SGD",e}(Kh);exports.SGDOptimizer=Qh,Bh(Qh);var Jh=function(t){function e(e,n,r){void 0===r&&(r=!1);var o=t.call(this,e)||this;return o.learningRate=e,o.momentum=n,o.useNesterov=r,o.accumulations=[],o.m=Nn(o.momentum),o}return o(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var o=_t.registeredVariables[n];null==e.accumulations[r]&&(e.accumulations[r]={originalName:n+"/momentum",variable:Ye(function(){return qn(o).variable(!1)})});var a=e.accumulations[r].variable,i=Array.isArray(t)?t[r].tensor:t[n];null!=i&&Ye(function(){var t,n=e.m.mul(a).add(i);t=e.useNesterov?e.c.mul(i.add(n.mul(e.m))).add(o):e.c.mul(n).add(o),a.assign(n),o.assign(t)})}),this.incrementIterations()},e.prototype.dispose=function(){this.m.dispose(),null!=this.accumulations&&Qe(this.accumulations.map(function(t){return t.variable}))},e.prototype.setMomentum=function(t){this.momentum=t},e.prototype.getWeights=function(){return a(this,void 0,void 0,function(){return i(this,function(t){switch(t.label){case 0:return[4,this.saveIterations()];case 1:return[2,[t.sent()].concat(this.accumulations.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return a(this,void 0,void 0,function(){return i(this,function(e){switch(e.label){case 0:return[4,this.extractIterations(t)];case 1:return t=e.sent(),this.accumulations=t.map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,momentum:this.momentum,useNesterov:this.useNesterov}},e.fromConfig=function(t,e){return new t(e.learningRate,e.momentum,e.useNesterov)},e.className="Momentum",e}(Qh);exports.MomentumOptimizer=Jh,Bh(Jh);var Zh=function(t){function e(e,n,r,o,a){void 0===n&&(n=.9),void 0===r&&(r=0),void 0===o&&(o=null),void 0===a&&(a=!1);var i=t.call(this)||this;return i.learningRate=e,i.decay=n,i.momentum=r,i.epsilon=o,i.accumulatedMeanSquares=[],i.accumulatedMoments=[],i.accumulatedMeanGrads=[],i.centered=a,null==o&&(i.epsilon=_t.backend.epsilon()),i}return o(e,t),e.prototype.applyGradients=function(t){var e=this;(Array.isArray(t)?t.map(function(t){return t.name}):Object.keys(t)).forEach(function(n,r){var o=_t.registeredVariables[n];null==e.accumulatedMeanSquares[r]&&(e.accumulatedMeanSquares[r]={originalName:n+"/rms",variable:Ye(function(){return qn(o).variable(!1)})}),null==e.accumulatedMoments[r]&&(e.accumulatedMoments[r]={originalName:n+"/momentum",variable:Ye(function(){return qn(o).variable(!1)})}),null==e.accumulatedMeanGrads[r]&&e.centered&&(e.accumulatedMeanGrads[r]={originalName:n+"/mg",variable:Ye(function(){return qn(o).variable(!1)})});var a=Array.isArray(t)?t[r].tensor:t[n];if(null!=a){var i=e.accumulatedMeanSquares[r].variable,s=e.accumulatedMoments[r].variable;Ye(function(){var t=i.mul(e.decay).add(a.square().mul(1-e.decay));if(e.centered){var n=e.accumulatedMeanGrads[r].variable,u=n.mul(e.decay).add(a.mul(1-e.decay)),c=s.mul(e.momentum).add(a.mul(e.learningRate).div(t.sub(u.square().add(e.epsilon)).sqrt()));i.assign(t),n.assign(u),s.assign(c);var l=o.sub(c);o.assign(l)}else{var p=i.mul(e.decay).add(a.square().mul(1-e.decay));c=s.mul(e.momentum).add(a.mul(e.learningRate).div(p.add(e.epsilon).sqrt())),i.assign(p),s.assign(c),l=o.sub(c),o.assign(l)}})}}),this.incrementIterations()},e.prototype.dispose=function(){null!=this.accumulatedMeanSquares&&Qe(this.accumulatedMeanSquares.map(function(t){return t.variable})),null!=this.accumulatedMeanGrads&&this.centered&&Qe(this.accumulatedMeanGrads.map(function(t){return t.variable})),null!=this.accumulatedMoments&&Qe(this.accumulatedMoments.map(function(t){return t.variable}))},e.prototype.getWeights=function(){return a(this,void 0,void 0,function(){var t;return i(this,function(e){switch(e.label){case 0:return t=this.accumulatedMeanSquares.concat(this.accumulatedMoments),this.centered&&t.push.apply(t,this.accumulatedMeanGrads),[4,this.saveIterations()];case 1:return[2,[e.sent()].concat(t.map(function(t){return{name:t.originalName,tensor:t.variable}}))]}})})},e.prototype.setWeights=function(t){return a(this,void 0,void 0,function(){var e;return i(this,function(n){switch(n.label){case 0:return[4,this.extractIterations(t)];case 1:return t=n.sent(),e=this.centered?t.length/3:t.length/2,this.accumulatedMeanSquares=t.slice(0,e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.accumulatedMoments=t.slice(e,2*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}}),this.centered&&(this.accumulatedMeanGrads=t.slice(2*e,3*e).map(function(t){return{originalName:t.name,variable:t.tensor.variable(!1)}})),[2]}})})},e.prototype.getConfig=function(){return{learningRate:this.learningRate,decay:this.decay,momentum:this.momentum,epsilon:this.epsilon,centered:this.centered}},e.fromConfig=function(t,e){return new t(e.learningRate,e.decay,e.momentum,e.epsilon,e.centered)},e.className="RMSProp",e}(Kh);exports.RMSPropOptimizer=Zh,Bh(Zh);var td=function(){function t(){}return t.sgd=function(t){return new Qh(t)},t.momentum=function(t,e,n){return void 0===n&&(n=!1),new Jh(t,e,n)},t.rmsprop=function(t,e,n,r,o){return void 0===e&&(e=.9),void 0===n&&(n=0),void 0===r&&(r=null),void 0===o&&(o=!1),new Zh(t,e,n,r,o)},t.adam=function(t,e,n,r){return void 0===t&&(t=.001),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),new $h(t,e,n,r)},t.adadelta=function(t,e,n){return void 0===t&&(t=.001),void 0===e&&(e=.95),void 0===n&&(n=null),new jh(t,e,n)},t.adamax=function(t,e,n,r,o){return void 0===t&&(t=.002),void 0===e&&(e=.9),void 0===n&&(n=.999),void 0===r&&(r=null),void 0===o&&(o=0),new Yh(t,e,n,r,o)},t.adagrad=function(t,e){return void 0===e&&(e=.1),new Xh(t,e)},t}(),ed={sgd:td.sgd,momentum:td.momentum,adadelta:td.adadelta,adagrad:td.adagrad,rmsprop:td.rmsprop,adamax:td.adamax,adam:td.adam},nd="undefined"!=typeof requestAnimationFrame?requestAnimationFrame:"undefined"!=typeof setImmediate?setImmediate:function(t){return t()};function rd(){return new Promise(function(t){return nd(function(){return t()})})}exports.train=ed,vt=Sp;
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0===(n=pe(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=pe(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"bool":void 0===(n=ee(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=ee(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"bool[]":void 0===(n=me(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=me(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"shape":void 0===(n=oe(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=oe(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"shape[]":void 0===(n=ue(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=ue(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"dtype":void 0===(n=re(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=re(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"dtype[]":void 0===(n=ne(e.attr,a.tfName,a.defaultValue))&&a.tfDeprecatedName&&(n=ne(e.attr,a.tfDeprecatedName,a.defaultValue));break;case"tensor":case"tensors":break;default:throw new 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pe(e,t,a){var r=e[t];return r?((r.list.f&&r.list.f.length?r.list.f:r.list.i)||[]).map(function(e){return"number"==typeof e?e:parseInt(e,10)}):a}function ie(e,t,a,r){void 0===r&&(r=!1);var n=e[t];return n&&n.list&&n.list.s?n.list.s.map(function(e){return J(e,r)}):a}function ue(e,t,a){var r=e[t];return r&&r.list&&r.list.shape?r.list.shape.map(function(e){return se(e)}):a}function me(e,t,a){var r=e[t];return r&&r.list&&r.list.b?r.list.b:a}var ce=function(){function e(e,t,a){var r=this;this.node=e,this.tensorMap=t,this.context=a,this.inputs=[],this.attrs={},this.inputs=e.inputNames.map(function(e){return r.getInput(e)}),null!=e.rawAttrs&&(this.attrs=Object.keys(e.rawAttrs).reduce(function(e,t){return e[t]=r.getAttr(t),e},{}))}return e.prototype.getInput=function(e){return d(e,this.tensorMap,this.context)},e.prototype.getAttr=function(e,t){var a=this.node.rawAttrs[e];if(null!=a.tensor)return d(e,this.tensorMap,this.context);if(null!=a.i||null!=a.f)return te(this.node.rawAttrs,e,t);if(null!=a.s)return $(this.node.rawAttrs,e,t);if(null!=a.b)return ee(this.node.rawAttrs,e,t);if(null!=a.shape)return oe(this.node.rawAttrs,e,t);if(null!=a.type)return re(this.node.rawAttrs,e,t);if(null!=a.list){if(null!=a.list.i||null!=a.list.f)return pe(this.node.rawAttrs,e,t);if(null!=a.list.s)return ie(this.node.rawAttrs,e,t);if(null!=a.list.shape)return ue(this.node.rawAttrs,e,t);if(null!=a.list.b)return me(this.node.rawAttrs,e,t);if(null!=a.list.type)return ne(this.node.rawAttrs,e,t)}return t},e}(),de=function(e,t,a){switch(e.op){case"BiasAdd":case"AddV2":case"Add":return[(0,r.add)(c("a",e,t,a),c("b",e,t,a))];case"AddN":return[(0,r.addN)(c("tensors",e,t,a))];case"FloorMod":case"Mod":return[(0,r.mod)(c("a",e,t,a),c("b",e,t,a))];case"Mul":return[(0,r.mul)(c("a",e,t,a),c("b",e,t,a))];case"RealDiv":case"Div":return[(0,r.div)(c("a",e,t,a),c("b",e,t,a))];case"FloorDiv":return[(0,r.floorDiv)(c("a",e,t,a),c("b",e,t,a))];case"Sub":return[(0,r.sub)(c("a",e,t,a),c("b",e,t,a))];case"Minimum":return[(0,r.minimum)(c("a",e,t,a),c("b",e,t,a))];case"Maximum":return[(0,r.maximum)(c("a",e,t,a),c("b",e,t,a))];case"Pow":return[(0,r.pow)(c("a",e,t,a),c("b",e,t,a))];case"SquaredDifference":return[(0,r.squaredDifference)(c("a",e,t,a),c("b",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},ye=function(e,t,a){switch(e.op){case"Abs":case"ComplexAbs":return[(0,r.abs)(c("x",e,t,a))];case"Acos":return[(0,r.acos)(c("x",e,t,a))];case"Acosh":return[(0,r.acosh)(c("x",e,t,a))];case"Asin":return[(0,r.asin)(c("x",e,t,a))];case"Asinh":return[(0,r.asinh)(c("x",e,t,a))];case"Atan":return[(0,r.atan)(c("x",e,t,a))];case"Atan2":return[(0,r.atan2)(c("x",e,t,a),c("y",e,t,a))];case"Atanh":return[(0,r.atanh)(c("x",e,t,a))];case"Ceil":return[(0,r.ceil)(c("x",e,t,a))];case"Complex":return[(0,r.complex)(c("real",e,t,a),c("imag",e,t,a))];case"Cos":return[(0,r.cos)(c("x",e,t,a))];case"Cosh":return[(0,r.cosh)(c("x",e,t,a))];case"Elu":return[(0,r.elu)(c("x",e,t,a))];case"Erf":return[(0,r.erf)(c("x",e,t,a))];case"Exp":return[(0,r.exp)(c("x",e,t,a))];case"Expm1":return[(0,r.expm1)(c("x",e,t,a))];case"Floor":return[(0,r.floor)(c("x",e,t,a))];case"Log":return[(0,r.log)(c("x",e,t,a))];case"Log1p":return[(0,r.log1p)(c("x",e,t,a))];case"Imag":return[(0,r.imag)(c("x",e,t,a))];case"Neg":return[(0,r.neg)(c("x",e,t,a))];case"Reciprocal":return[(0,r.reciprocal)(c("x",e,t,a))];case"Real":return[(0,r.real)(c("x",e,t,a))];case"Relu":return[(0,r.relu)(c("x",e,t,a))];case"Round":return[(0,r.round)(c("x",e,t,a))];case"Selu":return[(0,r.selu)(c("x",e,t,a))];case"Sigmoid":return[(0,r.sigmoid)(c("x",e,t,a))];case"Sin":return[(0,r.sin)(c("x",e,t,a))];case"Sign":return[(0,r.sign)(c("x",e,t,a))];case"Sinh":return[(0,r.sinh)(c("x",e,t,a))];case"Softplus":return[(0,r.softplus)(c("x",e,t,a))];case"Sqrt":return[(0,r.sqrt)(c("x",e,t,a))];case"Square":return[(0,r.square)(c("x",e,t,a))];case"Tanh":return[(0,r.tanh)(c("x",e,t,a))];case"Tan":return[(0,r.tan)(c("x",e,t,a))];case"Relu6":case"ClipByValue":return[(0,r.clipByValue)(c("x",e,t,a),c("clipValueMin",e,t,a),c("clipValueMax",e,t,a))];case"Rsqrt":return[(0,r.rsqrt)(d(e.inputNames[0],t,a))];case"Prod":return[(0,r.prod)(c("x",e,t,a),c("axes",e,t,a))];case"LeakyRelu":return[(0,r.leakyRelu)(c("x",e,t,a),c("alpha",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},le=function(){function e(t,a,r,n,s,o,p){this.name=t,this.dtype=a,this.maxSize=r,this.elementShape=n,this.identicalElementShapes=s,this.dynamicSize=o,this.clearAfterRead=p,this.tensors=[],this.closed_=!1,this.id=e.nextId++}return Object.defineProperty(e.prototype,"closed",{get:function(){return this.closed_},enumerable:!0,configurable:!0}),e.prototype.clearAndClose=function(){this.tensors.forEach(function(e){return e.tensor.dispose()}),this.tensors=[],this.closed_=!0},e.prototype.size=function(){return this.tensors.length},e.prototype.read=function(e){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||e>=this.tensors.length)throw new Error("Tried to read from index "+e+", but array size is: "+this.tensors.length);var t=this.tensors[e];if(t.cleared)throw new Error("TensorArray "+this.name+": Could not read index "+e+" twice because it was cleared after a previous read (perhaps try setting clear_after_read = false?).");return this.clearAfterRead&&(t.cleared=!0),t.read=!0,t.tensor},e.prototype.readMany=function(e){var t=this;return e.map(function(e){return t.read(e)})},e.prototype.write=function(e,t){if(this.closed_)throw new Error("TensorArray "+this.name+" has already been closed.");if(e<0||!this.dynamicSize&&e>=this.maxSize)throw new Error("Tried to write to index "+e+", but array is not resizeable and size is: "+this.maxSize);var a=this.tensors[e]||{};if(t.dtype!==this.dtype)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+",\n          because the value dtype is "+t.dtype+", but TensorArray dtype is "+this.dtype+".");if(0!==this.size()||null!=this.elementShape&&0!==this.elementShape.length||(this.elementShape=t.shape),this.assertShapesMatchAllowUndefinedSize(this.elementShape,t.shape,"TensorArray "+this.name+": Could not write to TensorArray index "+e+"."),a&&a.read)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been read.");if(a&&a.written)throw new Error("TensorArray "+this.name+": Could not write to TensorArray index "+e+", because it has already been written.");a.tensor=t,a.written=!0,this.tensors[e]=a},e.prototype.writeMany=function(e,t){var a=this;if(e.length!==t.length)throw new Error("TensorArray "+this.name+": could not write multiple tensors,because the index size: "+e.length+" is not the same as tensors size: "+t.length+".");e.forEach(function(e,r){return a.write(e,t[r])})},e.prototype.gather=function(e,t){if(t&&t!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but gather requested dtype "+t);if(!e){e=[];for(var a=0;a<this.size();a++)e.push(a)}if(0===e.length)return(0,r.tensor)([],[0].concat(this.elementShape));var n=this.readMany(e);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,n[0].shape,"TensorArray shape mismatch: "),(0,r.stack)(n,0)},e.prototype.concat=function(e){if(e&&e!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but concat requested dtype "+e);if(0===this.size())return(0,r.tensor)([],[0].concat(this.elementShape));for(var t=[],a=0;a<this.size();a++)t.push(a);var n=this.readMany(t);return this.assertShapesMatchAllowUndefinedSize(this.elementShape,n[0].shape,"TensorArray shape mismatch: tensor array shape ("+this.elementShape+") vs first tensor shape ("+n[0].shape+")"),(0,r.concat)(n,0)},e.prototype.scatter=function(e,t){if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);if(e.length!==t.shape[0])throw new Error("Expected len(indices) == tensor.shape[0], but saw: "+e.length+" vs. "+t.shape[0]);var a=Math.max.apply(Math,e);if(!this.dynamicSize&&a>=this.maxSize)throw new Error("Max index must be < array size ("+a+"  vs. "+this.maxSize+")");this.writeMany(e,(0,r.unstack)(t,0))},e.prototype.split=function(e,t){var a=this;if(t.dtype!==this.dtype)throw new Error("TensorArray dtype is "+this.dtype+" but tensor has dtype "+t.dtype);var n=0,s=e.map(function(e){return n+=e});if(n!==t.shape[0])throw new Error("Expected sum of lengths to be equal to\n          tensor.shape[0], but sum of lengths is\n        "+n+", and tensor's shape is: "+t.shape);if(!this.dynamicSize&&e.length!==this.maxSize)throw new Error("TensorArray's size is not equal to the size of lengths ("+this.maxSize+" vs. "+e.length+"), and the TensorArray is not marked as dynamically resizeable");var o=0===n?0:t.size/n,p=[];(0,r.tidy)(function(){t=t.reshape([1,n,o]);for(var i=0;i<e.length;++i){var u=[0,0===i?0:s[i-1],0],m=[1,e[i],o];p[i]=(0,r.slice)(t,u,m).reshape(a.elementShape)}return p});for(var i=[],u=0;u<e.length;u++)i[u]=u;this.writeMany(i,p)},e.prototype.assertShapesMatchAllowUndefinedSize=function(e,t,a){void 0===a&&(a=""),r.util.assert(this.shapesEqualAllowUndefinedSize(e,t),function(){return a+" Shapes "+e+" and "+t+" must match"})},e.prototype.shapesEqualAllowUndefinedSize=function(e,t){if(e.length!==t.length)return!1;for(var a=0;a<e.length;a++)if(-1!==e[a]&&-1!==t[a]&&e[a]!==t[a])return!1;return!0},e.nextId=0,e}();function fe(e,t,a){return s(this,void 0,void 0,function(){var n,s,p,i,u,m,y,l,f,h,N,g,b,x,T,v,O,S,w,_,A,D,E,I,V,k,C,M,z,F,j,R,P,L,B;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"LoopCond":return[3,1];case"Switch":return[3,2];case"Merge":return[3,4];case"Enter":return[3,5];case"Exit":return[3,6];case"NextIteration":return[3,7];case"TensorArrayV3":return[3,8];case"TensorArrayWriteV3":return[3,9];case"TensorArrayReadV3":return[3,10];case"TensorArrayGatherV3":return[3,11];case"TensorArrayScatterV3":return[3,12];case"TensorArrayConcatV3":return[3,13];case"TensorArraySplitV3":return[3,14];case"TensorArraySizeV3":return[3,15];case"TensorArrayCloseV3":return[3,16]}return[3,17];case 1:return[2,[c("pred",e,t,a).clone()]];case 2:return n=c("pred",e,t,a),s=c("data",e,t,a),[4,n.data()];case 3:return[2,o.sent()[0]?[void 0,s.clone()]:[s.clone(),void 0]];case 4:return[2,(p=e.inputNames.find(function(e){return void 0!==d(e,t,a)}))?[d(p,t,a).clone()]:void 0];case 5:return i=c("frameName",e,t,a),u=c("tensor",e,t,a),a.enterFrame(i),[2,[u.clone()]];case 6:return m=c("tensor",e,t,a),a.exitFrame(),[2,[m.clone()]];case 7:return y=c("tensor",e,t,a),a.nextIteration(),[2,[y.clone()]];case 8:return l=c("size",e,t,a),f=c("dtype",e,t,a),h=c("elementShape",e,t,a),N=c("dynamicSize",e,t,a),g=c("clearAfterRead",e,t,a),b=c("identicalElementShapes",e,t,a),x=c("name",e,t,a),T=new le(x,f,l,h,b,N,g),a.addTensorArray(T),[2,[(0,r.scalar)(T.id),(0,r.scalar)(1)]];case 9:return v=c("tensorArrayId",e,t,a),O=c("index",e,t,a),S=c("tensor",e,t,a),a.getTensorArray(v).write(O,S),[2,[(0,r.scalar)(1)]];case 10:return w=c("tensorArrayId",e,t,a),_=c("index",e,t,a),[2,[a.getTensorArray(w).read(_)]];case 11:return A=c("tensorArrayId",e,t,a),D=c("indices",e,t,a),E=c("dtype",e,t,a),[2,[a.getTensorArray(A).gather(D,E)]];case 12:return I=c("tensorArrayId",e,t,a),V=c("indices",e,t,a),k=c("tensor",e,t,a),a.getTensorArray(I).scatter(V,k),[2,[(0,r.scalar)(1)]];case 13:return C=c("tensorArrayId",e,t,a),M=a.getTensorArray(C),z=c("dtype",e,t,a),[2,[M.concat(z)]];case 14:return F=c("tensorArrayId",e,t,a),j=c("tensor",e,t,a),R=c("lengths",e,t,a),a.getTensorArray(F).split(R,j),[2,[(0,r.scalar)(1)]];case 15:return P=c("tensorArrayId",e,t,a),L=a.getTensorArray(P),[2,[(0,r.scalar)(L.size(),"int32")]];case 16:return B=c("tensorArrayId",e,t,a),a.getTensorArray(B).clearAndClose(),[2,[]];case 17:throw TypeError("Node type "+e.op+" is not implemented")}})})}var he=function(e,t,a){var n,s;switch(e.op){case"Conv1D":var o=c("stride",e,t,a),p=c("pad",e,t,a),i=c("dataFormat",e,t,a).toUpperCase(),u=c("dilation",e,t,a);return[(0,r.conv1d)(c("x",e,t,a),c("filter",e,t,a),o,p,i,u)];case"Conv2D":o=c("strides",e,t,a),p=c("pad",e,t,a),i=c("dataFormat",e,t,a).toUpperCase();var m=c("dilations",e,t,a);return[(0,r.conv2d)(c("x",e,t,a),c("filter",e,t,a),[o[1],o[2]],p,i,[m[1],m[2]])];case"_FusedConv2D":var d=(n=c("fusedOps",e,t,a))[0],y=n[1],l="biasadd"===d,f="prelu"===y,h="fusedbatchnorm"===d,N=c("numArgs",e,t,a);if(l){if(f&&2!==N)throw new Error("Fused Conv2d with BiasAdd and Prelu must have two extra arguments: bias and alpha.");if(!f&&1!==N)throw new Error("Fused Conv2d with BiasAdd must have one extra argument: bias.")}if(h)throw new Error("Fused Conv2d with FusedBatchNorm is not supported.");o=c("strides",e,t,a),p=c("pad",e,t,a),i=c("dataFormat",e,t,a).toUpperCase(),m=c("dilations",e,t,a);var g=(s=c("args",e,t,a))[0],b=s[1];return[r.fused.conv2d({x:c("x",e,t,a),filter:c("filter",e,t,a),strides:[o[1],o[2]],pad:p,dataFormat:i,dilations:[m[1],m[2]],bias:g,activation:y,preluActivationWeights:b})];case"Conv2DBackpropInput":case"Conv2dTranspose":var x=c("outputShape",e,t,a);return o=c("strides",e,t,a),p=c("pad",e,t,a),[(0,r.conv2dTranspose)(c("x",e,t,a),c("filter",e,t,a),x,[o[1],o[2]],p)];case"DepthwiseConv2dNative":case"DepthwiseConv2d":return o=c("strides",e,t,a),p=c("pad",e,t,a),m=c("dilations",e,t,a),i=c("dataFormat",e,t,a).toUpperCase(),[(0,r.depthwiseConv2d)(c("input",e,t,a),c("filter",e,t,a),[o[1],o[2]],p,i,[m[1],m[2]])];case"Conv3D":return o=c("strides",e,t,a),p=c("pad",e,t,a),i=c("dataFormat",e,t,a).toUpperCase(),m=c("dilations",e,t,a),[(0,r.conv3d)(c("x",e,t,a),c("filter",e,t,a),[o[1],o[2],o[3]],p,i,[m[1],m[2],m[3]])];case"AvgPool":o=c("strides",e,t,a),p=c("pad",e,t,a);var T=c("kernelSize",e,t,a);return[(0,r.avgPool)(c("x",e,t,a),[T[1],T[2]],[o[1],o[2]],p)];case"MaxPool":return o=c("strides",e,t,a),p=c("pad",e,t,a),T=c("kernelSize",e,t,a),[(0,r.maxPool)(c("x",e,t,a),[T[1],T[2]],[o[1],o[2]],p)];case"AvgPool3D":return o=c("strides",e,t,a),p=c("pad",e,t,a),T=c("kernelSize",e,t,a),[(0,r.avgPool3d)(c("x",e,t,a),[T[1],T[2],T[3]],[o[1],o[2],o[3]],p)];case"MaxPool3D":return o=c("strides",e,t,a),p=c("pad",e,t,a),T=c("kernelSize",e,t,a),[(0,r.maxPool3d)(c("x",e,t,a),[T[1],T[2],T[3]],[o[1],o[2],o[3]],p)];default:throw TypeError("Node type "+e.op+" is not implemented")}},Ne=function(e,t,a){switch(e.op){case"Fill":var n=c("shape",e,t,a),s=c("dtype",e,t,a),o=c("value",e,t,a);return[(0,r.fill)(n,o,s)];case"LinSpace":var p=c("start",e,t,a),i=c("stop",e,t,a),u=c("num",e,t,a);return[(0,r.linspace)(p,i,u)];case"Multinomial":var m=c("logits",e,t,a),d=c("numSamples",e,t,a),y=c("seed",e,t,a);return[(0,r.multinomial)(m,d,y)];case"OneHot":var l=c("indices",e,t,a),f=c("depth",e,t,a),h=c("onValue",e,t,a),N=c("offValue",e,t,a);return[(0,r.oneHot)(l,f,h,N)];case"Ones":return[(0,r.ones)(c("shape",e,t,a),c("dtype",e,t,a))];case"OnesLike":return[(0,r.onesLike)(c("x",e,t,a))];case"RandomUniform":return[(0,r.randomUniform)(c("shape",e,t,a),c("minval",e,t,a),c("maxval",e,t,a),c("dtype",e,t,a))];case"Range":p=c("start",e,t,a);var g=c("stop",e,t,a),b=c("step",e,t,a);return[(0,r.range)(p,g,b,c("dtype",e,t,a))];case"TruncatedNormal":n=c("shape",e,t,a);var x=c("mean",e,t,a),T=c("stdDev",e,t,a);return y=c("seed",e,t,a),[(0,r.truncatedNormal)(n,x,T,c("dtype",e,t,a),y)];case"Zeros":return[(0,r.zeros)(c("shape",e,t,a),c("dtype",e,t,a))];case"ZerosLike":return[(0,r.zerosLike)(c("x",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}};function ge(e,t,a){return s(this,void 0,void 0,function(){var n,s,p,i,u;return o(this,function(o){switch(o.label){case 0:switch(e.op){case"NonMaxSuppressionV3":case"NonMaxSuppressionV2":return[3,1];case"Where":return[3,3];case"ListDiff":return[3,5]}return[3,6];case 1:return n=c("boxes",e,t,a),s=c("scores",e,t,a),p=c("maxOutputSize",e,t,a),i=c("iouThreshold",e,t,a),u=c("scoreThreshold",e,t,a),[4,r.image.nonMaxSuppressionAsync(n,s,p,i,u)];case 2:return[2,[o.sent()]];case 3:return[4,(0,r.whereAsync)(c("condition",e,t,a).asType("bool"))];case 4:return[2,[o.sent()]];case 5:return[2,(0,r.setdiff1dAsync)(c("x",e,t,a),c("y",e,t,a))];case 6:throw TypeError("Node type "+e.op+" is not implemented")}})})}var be=function(e,t,a){switch(e.op){case"TopKV2":var n=c("x",e,t,a),s=c("k",e,t,a),o=c("sorted",e,t,a),p=(0,r.topk)(n,s,o);return[p.values,p.indices];default:throw TypeError("Node type "+e.op+" is not implemented")}},xe=function(e,t,a){switch(e.op){case"Const":return t[e.name];case"PlaceholderWithDefault":var n=c("default",e,t,a);return[d(e.name,t,a)||n];case"Placeholder":return[d(e.name,t,a)];case"Identity":case"StopGradient":case"FakeQuantWithMinMaxVars":return[c("x",e,t,a).clone()];case"IdentityN":return c("x",e,t,a).map(function(e){return e.clone()});case"Snapshot":return[c("x",e,t,a).clone()];case"Shape":return[(0,r.tensor1d)(c("x",e,t,a).shape,"int32")];case"ShapeN":return c("x",e,t,a).map(function(e){return(0,r.tensor1d)(e.shape)});case"Size":return[(0,r.scalar)(c("x",e,t,a).size,"int32")];case"Rank":return[(0,r.scalar)(c("x",e,t,a).rank,"int32")];case"NoOp":return[];case"Print":var s=c("x",e,t,a),o=c("data",e,t,a),p=c("message",e,t,a),i=c("summarize",e,t,a);console.warn("The graph has a tf.print() operation,usually used for debugging, which slows down performance."),console.log(p);for(var u=0;u<o.length;u++)console.log(Array.prototype.slice.call(o[u].dataSync()).slice(0,i));return[s];default:throw TypeError("Node type "+e.op+" is not implemented")}},Te=function(e,t,a){switch(e.op){case"ResizeBilinear":var n=c("images",e,t,a),s=c("size",e,t,a),o=c("alignCorners",e,t,a);return[r.image.resizeBilinear(n,[s[0],s[1]],o)];case"ResizeNearestNeighbor":return n=c("images",e,t,a),s=c("size",e,t,a),o=c("alignCorners",e,t,a),[r.image.resizeNearestNeighbor(n,[s[0],s[1]],o)];case"CropAndResize":var p=c("image",e,t,a),i=c("boxes",e,t,a),u=c("boxInd",e,t,a),m=c("cropSize",e,t,a),d=c("method",e,t,a),y=c("extrapolationValue",e,t,a);return[r.image.cropAndResize(p,i,u,m,d,y)];default:throw TypeError("Node type "+e.op+" is not implemented")}},ve=function(e,t,a){switch(e.op){case"Equal":return[(0,r.equal)(c("a",e,t,a),c("b",e,t,a))];case"NotEqual":return[(0,r.notEqual)(c("a",e,t,a),c("b",e,t,a))];case"Greater":return[(0,r.greater)(c("a",e,t,a),c("b",e,t,a))];case"GreaterEqual":return[(0,r.greaterEqual)(c("a",e,t,a),c("b",e,t,a))];case"Less":return[(0,r.less)(c("a",e,t,a),c("b",e,t,a))];case"LessEqual":return[(0,r.lessEqual)(c("a",e,t,a),c("b",e,t,a))];case"LogicalAnd":return[(0,r.logicalAnd)(c("a",e,t,a),c("b",e,t,a))];case"LogicalNot":return[(0,r.logicalNot)(c("a",e,t,a))];case"LogicalOr":return[(0,r.logicalOr)(c("a",e,t,a),c("b",e,t,a))];case"Select":return[(0,r.where)(c("condition",e,t,a),c("a",e,t,a),c("b",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},Oe=function(e,t,a){switch(e.op){case"BatchMatMul":case"BatchMatMulV2":case"MatMul":return[(0,r.matMul)(c("a",e,t,a),c("b",e,t,a),c("transposeA",e,t,a),c("transposeB",e,t,a))];case"Transpose":return[(0,r.transpose)(c("x",e,t,a),c("perm",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},Se=function(e,t,a){switch(e.op){case"FusedBatchNorm":case"FusedBatchNormV2":case"FusedBatchNormV3":return[(0,r.batchNorm)(c("x",e,t,a),c("mean",e,t,a),c("variance",e,t,a),c("offset",e,t,a),c("scale",e,t,a),c("epsilon",e,t,a))];case"LRN":return[(0,r.localResponseNormalization)(c("x",e,t,a),c("radius",e,t,a),c("bias",e,t,a),c("alpha",e,t,a),c("beta",e,t,a))];case"Softmax":return[(0,r.softmax)(c("x",e,t,a))];case"LogSoftmax":return[(0,r.logSoftmax)(c("x",e,t,a))];case"SparseToDense":return[(0,r.sparseToDense)(c("sparseIndices",e,t,a),c("outputShape",e,t,a),c("sparseValues",e,t,a),c("defaultValue",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},we=function(e,t,a){switch(e.op){case"Max":var n=c("axis",e,t,a),s=c("keepDims",e,t,a);return[(0,r.max)(c("x",e,t,a),n,s)];case"Mean":return n=c("axis",e,t,a),s=c("keepDims",e,t,a),[(0,r.mean)(c("x",e,t,a),n,s)];case"Min":return n=c("axis",e,t,a),s=c("keepDims",e,t,a),[(0,r.min)(c("x",e,t,a),n,s)];case"Sum":return n=c("axis",e,t,a),s=c("keepDims",e,t,a),[(0,r.sum)(c("x",e,t,a),n,s)];case"All":return n=c("axis",e,t,a),s=c("keepDims",e,t,a),[(0,r.all)(c("x",e,t,a),n,s)];case"Any":return n=c("axis",e,t,a),s=c("keepDims",e,t,a),[(0,r.any)(c("x",e,t,a),n,s)];case"ArgMax":return n=c("axis",e,t,a),[(0,r.argMax)(c("x",e,t,a),n)];case"ArgMin":return n=c("axis",e,t,a),[(0,r.argMin)(c("x",e,t,a),n)];case"Prod":return n=c("axis",e,t,a),s=c("keepDims",e,t,a),[(0,r.prod)(c("x",e,t,a),n,s)];default:throw TypeError("Node type "+e.op+" is not implemented")}},_e=function(e,t,a){switch(e.op){case"ConcatV2":case"Concat":var n=c("axis",e,t,a),s=c("tensors",e,t,a);return[(0,r.concat)(s,n)];case"GatherV2":case"Gather":n=c("axis",e,t,a);var o=c("x",e,t,a),p=c("indices",e,t,a);return[(0,r.gather)(o,p.asType("int32"),n)];case"ReverseV2":case"Reverse":return n=c("axis",e,t,a),o=c("x",e,t,a),[(0,r.reverse)(o,n)];case"Slice":var i=c("begin",e,t,a),u=c("size",e,t,a);return[(0,r.slice)(c("x",e,t,a),i,u)];case"StridedSlice":i=c("begin",e,t,a);var m=c("end",e,t,a),d=c("strides",e,t,a),y=c("beginMask",e,t,a),l=c("endMask",e,t,a),f=c("ellipsisMask",e,t,a),h=c("newAxisMask",e,t,a),N=c("shrinkAxisMask",e,t,a),g=c("x",e,t,a);if(1===i.length&&g.shape.length>1)for(var b=1;b<g.shape.length;b++)i.push(0),m.push(g.shape[b]),d.push(d[0]);return[(0,r.stridedSlice)(g,i,m,d,y,l,f,h,N)];case"Pack":return(0,r.tidy)(function(){var n=c("axis",e,t,a),s=c("tensors",e,t,a),o=s[0].shape,p=s[0].squeeze().shape,i=s.map(function(e){var t=r.util.arraysEqual(e.shape,o);if(!t&&!r.util.arraysEqual(e.squeeze().shape,p))throw new Error("the input tensors shape does not match");return t?e:e.reshape(o)});return[(0,r.stack)(i,n)]});case"Unpack":return(0,r.tidy)(function(){var n=c("axis",e,t,a),s=c("tensor",e,t,a);return(0,r.unstack)(s,n)});case"Tile":var x=c("reps",e,t,a);return[(0,r.tile)(c("x",e,t,a),x)];case"Split":case"SplitV":n=c("axis",e,t,a);var T=c("numOrSizeSplits",e,t,a);return(0,r.split)(c("x",e,t,a),T,n);case"ScatterNd":p=c("indices",e,t,a);var v=c("values",e,t,a),O=c("shape",e,t,a);return[(0,r.scatterND)(p,v,O)];case"GatherNd":var S=c("x",e,t,a);return p=c("indices",e,t,a),[(0,r.gatherND)(S,p)];case"SparseToDense":p=c("sparseIndices",e,t,a),O=c("outputShape",e,t,a);var w=c("sparseValues",e,t,a),_=c("defaultValue",e,t,a);return[(0,r.sparseToDense)(p,w,O,w.dtype===_.dtype?_:_.asType(w.dtype))];default:throw TypeError("Node type "+e.op+" is not implemented")}},Ae=function(e,t,a){switch(e.op){case"FFT":return[(0,r.fft)(c("x",e,t,a))];case"IFFT":return[(0,r.ifft)(c("x",e,t,a))];case"RFFT":return[(0,r.rfft)(c("x",e,t,a))];case"IRFFT":return[(0,r.irfft)(c("x",e,t,a))];default:throw TypeError("Node type "+e.op+" is not implemented")}},De=function(e,t,a){switch(e.op){case"Cast":return[(0,r.cast)(c("x",e,t,a),c("dtype",e,t,a))];case"ExpandDims":var n=c("axis",e,t,a);return[(0,r.expandDims)(c("x",e,t,a),n)];case"Squeeze":return n=c("axis",e,t,a),[(0,r.squeeze)(c("x",e,t,a),n)];case"Reshape":return[(0,r.reshape)(c("x",e,t,a),c("shape",e,t,a))];case"PadV2":case"Pad":return[(0,r.pad)(c("x",e,t,a),N(c("padding",e,t,a),2),c("constantValue",e,t,a))];case"SpaceToBatchND":var s=c("blockShape",e,t,a),o=N(c("paddings",e,t,a),2);return[(0,r.spaceToBatchND)(c("x",e,t,a),s,o)];case"BatchToSpaceND":s=c("blockShape",e,t,a);var p=N(c("crops",e,t,a),2);return[(0,r.batchToSpaceND)(c("x",e,t,a),s,p)];case"DepthToSpace":var i=c("blockSize",e,t,a),u=c("dataFormat",e,t,a).toUpperCase();return[(0,r.depthToSpace)(c("x",e,t,a),i,u)];default:throw TypeError("Node type "+e.op+" is not implemented")}};function Ee(e,t,a){var r=function(e,t,a){switch(e.category){case"arithmetic":return de(e,t,a);case"basic_math":return ye(e,t,a);case"control":return fe(e,t,a);case"convolution":return he(e,t,a);case"creation":return Ne(e,t,a);case"dynamic":return ge(e,t,a);case"evaluation":return be(e,t,a);case"image":return Te(e,t,a);case"graph":return xe(e,t,a);case"logical":return ve(e,t,a);case"matrices":return Oe(e,t,a);case"normalization":return Se(e,t,a);case"reduction":return we(e,t,a);case"slice_join":return _e(e,t,a);case"spectral":return Ae(e,t,a);case"transformation":return De(e,t,a);case"custom":var r=u(e.op);if(r&&r.customExecutor)return r.customExecutor(new ce(e,t,a));throw TypeError("Custom op "+e.op+" is not registered.");default:throw TypeError("Unknown op '"+e.op+"'. File an issue at https://github.com/tensorflow/tfjs/issues so we can add it, or register a custom execution with tf.registerOp()")}}(e,t,a);return r instanceof Promise?r.then(function(e){return[].concat(e)}):[].concat(r)}var Ie=function(){function e(e,t){this.weightMap=e,this.tensorArrayMap=t,this.rootContext={id:0,frameName:"",iterationId:0},this.contexts=[this.rootContext],this.lastId=0,this.generateCurrentContextIds()}return e.prototype.newFrame=function(e,t){return{id:e,frameName:t,iterationId:0}},Object.defineProperty(e.prototype,"currentContext",{get:function(){return this.contexts},set:function(e){this.contexts!==e&&(this.contexts=e,this.generateCurrentContextIds())},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextId",{get:function(){return this._currentContextIds[0]},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"currentContextIds",{get:function(){return this._currentContextIds},enumerable:!0,configurable:!0}),e.prototype.generateCurrentContextIds=function(){for(var e=[],t=0;t<this.contexts.length-1;t++){var a=this.contexts.slice(0,this.contexts.length-t);e.push(this.contextIdforContexts(a))}e.push(""),this._currentContextIds=e},e.prototype.contextIdforContexts=function(e){return e?e.map(function(e){return 0===e.id&&0===e.iterationId?"":e.frameName+"-"+e.iterationId}).join("/"):""},e.prototype.enterFrame=function(e){this.contexts&&(this.lastId++,this.contexts=this.contexts.slice(),this.contexts.push(this.newFrame(this.lastId,e)),this._currentContextIds.unshift(this.contextIdforContexts(this.contexts)))},e.prototype.exitFrame=function(){if(!(this.contexts&&this.contexts.length>1))throw new Error("Cannot exit frame, the context is empty");this.contexts=this.contexts.slice(),this.contexts.splice(-1),this.currentContextIds.shift()},e.prototype.nextIteration=function(){if(!(this.contexts&&this.contexts.length>0))throw new Error("Cannot increase frame iteration, the context is empty");this.contexts=this.contexts.slice(),this.lastId++;var e=Object.assign({},this.contexts[this.contexts.length-1]);e.iterationId+=1,e.id=this.lastId,this.contexts.splice(-1,1,e),this._currentContextIds.splice(0,1,this.contextIdforContexts(this.contexts))},e.prototype.getWeight=function(e){return this.weightMap[e]},e.prototype.addTensorArray=function(e){this.tensorArrayMap[e.id]=e},e.prototype.getTensorArray=function(e){return this.tensorArrayMap[e]},e}();function Ve(e,t,a){for(var r=new Set,n=[],s=null,o=null,p=new Set,i=t.slice();i.length>0;){var u=i.pop();(ze(u)||Fe(u))&&null==s&&(o=(s=u).children.map(function(e){return e.name}).filter(function(e){return r.has(e)})),r.add(u.name),null==a[u.name]&&null==e[u.name]&&(0!==u.inputs.length?u.inputs.forEach(function(e){p.has(e.name)||(p.add(e.name),i.push(e))}):n.push(u.name))}return{inputs:e,outputs:t,usedNodes:r,missingInputs:n,dynamicNode:s,syncInputs:o}}function ke(e,t,a){var r=a.usedNodes,n=a.inputs,s=[];Object.keys(n).map(function(t){return e.nodes[t]}).forEach(function(e){r.has(e.name)&&s.push(e)}),e.weights.forEach(function(e){r.has(e.name)&&s.push(e)});for(var o=new Set,p=[];s.length>0;){var i=s.pop();o.add(i.name),t[i.name]||p.push(i),i.children.forEach(function(e){!o.has(e.name)&&r.has(e.name)&&e.inputs.every(function(e){return o.has(e.name)})&&s.push(e)})}return p}var Ce=["Switch","Merge","Enter","Exit","NextIteration"],Me=["NonMaxSuppressionV2","NonMaxSuppressionV3","Where"];function ze(e){return Ce.indexOf(e.op)>=0}function Fe(e){return Me.indexOf(e.op)>=0}var je=function(){function e(e){this.graph=e,this.compiledMap=new Map,this._weightMap={},this.SEPERATOR=",",this.placeholders=e.placeholders,this._outputs=e.outputs}return Object.defineProperty(e.prototype,"weightMap",{get:function(){return this._weightMap},set:function(e){var t=Object.keys(e).map(function(t){return e[t].map(function(e){return e.id})});this.weightIds=[].concat.apply([],t),this._weightMap=e},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.placeholders.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this._outputs.map(function(e){return{name:e.name,shape:e.attrParams.shape?e.attrParams.shape.value:void 0,dtype:e.attrParams.dtype?e.attrParams.dtype.value:void 0}})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.placeholders.map(function(e){return e.name})},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.outputs.map(function(e){return e.name})},enumerable:!0,configurable:!0}),e.prototype.getCompilationKey=function(e,t){var a=e.map(function(e){return e.name}).sort(),r=t.map(function(e){return e.name}).sort();return a.join(this.SEPERATOR)+"--"+r.join(this.SEPERATOR)},e.prototype.compile=function(e,t){var a=Ve(e,t,this.weightMap),r=a.missingInputs,n=a.dynamicNode,s=a.syncInputs;if(null!=n)throw new Error("This execution contains the node '"+n.name+"', which has the dynamic op '"+n.op+"'. Please use model.executeAsync() instead. Alternatively, to avoid the dynamic ops, specify the inputs ["+s+"]");if(r.length>0){var o=t.map(function(e){return e.name}),p=Object.keys(e);throw new Error("Cannot compute the outputs ["+o+"] from the provided inputs ["+p+"]. Missing the following inputs: ["+r+"]")}return ke(this.graph,this.weightMap,a)},e.prototype.execute=function(e,t){var a=this,s=Object.keys(e).sort();this.checkInputs(e),this.checkInputShapeAndType(e),this.checkOutputs(t);var o=s.map(function(e){return a.graph.nodes[e]}),p=t.map(function(e){return a.graph.nodes[h(e)[0]]}),i=this.getCompilationKey(o,p),u=this.compiledMap.get(i);null==u&&(u=this.compile(e,p),this.compiledMap.set(i,u));var m={};return(0,r.tidy)(function(){var r=new Ie(a._weightMap,m),s=n({},a.weightMap);Object.keys(e).forEach(function(t){s[t]=[e[t]]});for(var o=a.getFrozenTensorIds(s),p={},i=0;i<u.length;i++){var c=u[i];if(!s[c.name]){var y=Ee(c,s,r);if(y instanceof Promise)throw new Error("The execution of the op '"+c.op+"' returned a promise. Please use model.executeAsync() instead.");s[c.name]=y,a.checkTensorForDisposal(c.name,c,s,r,o,t,p)}}return t.map(function(e){return d(e,s,r)})})},e.prototype.getFrozenTensorIds=function(e){var t=[].concat.apply([],Object.keys(e).map(function(t){return e[t]}).map(function(e){return e.map(function(e){return e.id})}));return new Set(t)},e.prototype.checkTensorForDisposal=function(e,t,a,r,n,s,o){"control"!==t.category&&-1===s.indexOf(e)&&(a[e].forEach(function(e){null!=e&&(o[e.id]=(o[e.id]||0)+t.children.length)}),t.inputs.forEach(function(e){if("control"!==e.category){var t=y(e.name,a,r);null!=t&&t.forEach(function(e){if(e&&!n.has(e.id)){var t=o[e.id];1===t?(e.dispose(),delete o[e.id]):null!=t&&o[e.id]--}})}}))},e.prototype.executeAsync=function(e,t){return s(this,void 0,void 0,function(){var a,r,n,s,p,i,u=this;return o(this,function(o){switch(o.label){case 0:return this.checkInputs(e),this.checkInputShapeAndType(e),this.checkOutputs(t),a={},r=new Ie(this._weightMap,a),[4,this.executeWithControlFlow(e,r,t)];case 1:return n=o.sent(),s=t.map(function(e){return d(e,n,r)}),p=new Set(s.map(function(e){return e.id})),i=new Set(Object.keys(e).map(function(t){return e[t].id})),Object.keys(n).forEach(function(e){n[e].forEach(function(e){!e||e.isDisposed||p.has(e.id)||i.has(e.id)||-1!==u.weightIds.indexOf(e.id)||e.dispose()})}),[2,s]}})})},e.prototype.executeWithControlFlow=function(e,t,a){return s(this,void 0,void 0,function(){var r,s,p,i,u,m,c,y,l,f,N,g,b,x,T,v,O=this;return o(this,function(o){switch(o.label){case 0:r=Object.keys(e),s=r.map(function(e){return O.graph.nodes[e]}),p=a.map(function(e){return O.graph.nodes[h(e)[0]]}),i=Ve(e,p,this.weightMap),u=i.usedNodes,m=i.missingInputs,c=i.dynamicNode,y=i.syncInputs,l=s.concat(this.graph.weights).map(function(e){return{node:e,contexts:t.currentContext}}),f=n({},this.weightMap),Object.keys(e).forEach(function(t){f[t]=[e[t]]}),N={},g=this.getFrozenTensorIds(f),b={},o.label=1;case 1:return l.length>0?(x=this.processStack(s,l,t,f,b,g,a,N,u),[4,Promise.all(x)]):[3,3];case 2:return o.sent(),[3,1];case 3:if(null==c&&console.warn("This model execution did not contain any nodes with control flow or dynamic output shapes. You can use model.execute() instead."),(T=p.filter(function(e){return!ze(e)&&!d(e.name,f,t)}).map(function(e){return e.name})).length>0)throw v="",null!=c&&(v="Alternatively, to avoid the dynamic ops, use model.execute() and specify the inputs ["+y+"]"),new Error("Cannot compute the outputs ["+T+"] from the provided inputs ["+r+"]. Consider providing the following inputs: ["+m+"]. "+v);return[2,f]}})})},e.prototype.processStack=function(e,t,a,r,n,s,o,p,i){for(var u=this,m=[],d=function(){var d=t.pop();a.currentContext=d.contexts;var f="";if("Enter"===d.node.op&&c("isConstant",d.node,r,a)&&(f=l(d.node.name,a)[0]),-1===e.indexOf(d.node)){var h=Ee(d.node,r,a);f||(f=l(d.node.name,a)[0]);var N=a.currentContext;h instanceof Promise?m.push(h.then(function(e){return r[f]=e,a.currentContext=N,u.checkTensorForDisposal(f,d.node,r,a,s,o,p),u.processChildNodes(d.node,t,a,r,n,i),e})):(r[f]=h,y.checkTensorForDisposal(f,d.node,r,a,s,o,p),y.processChildNodes(d.node,t,a,r,n,i))}else y.processChildNodes(d.node,t,a,r,n,i)},y=this;t.length>0;)d();return m},e.prototype.processChildNodes=function(e,t,a,r,n,s){e.children.forEach(function(e){var o=l(e.name,a)[0];!n[o]&&s.has(e.name)&&("Merge"===e.op?e.inputNames.some(function(e){return!!d(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})):e.inputNames.every(function(e){return!!d(e,r,a)})&&(n[o]=!0,t.push({contexts:a.currentContext,node:e})))})},e.prototype.dispose=function(){var e=this;Object.keys(this.weightMap).forEach(function(t){return e.weightMap[t].forEach(function(e){return e.dispose()})})},e.prototype.checkInputShapeAndType=function(e){var t=this;Object.keys(e).forEach(function(a){var n=e[a],s=t.graph.nodes[a];if(s.attrParams.shape&&s.attrParams.shape.value){var o=s.attrParams.shape.value,p=o.length===n.shape.length&&n.shape.every(function(e,t){return-1===o[t]||o[t]===e});r.util.assert(p,function(){return"The shape of dict['"+s.name+"'] provided in model.execute(dict) must be ["+o+"], but was ["+n.shape+"]"})}s.attrParams.dtype&&s.attrParams.dtype.value&&r.util.assert(n.dtype===s.attrParams.dtype.value,function(){return"The dtype of dict['"+s.name+"'] provided in model.execute(dict) must be "+s.attrParams.dtype.value+", but was "+n.dtype})})},e.prototype.checkInputs=function(e){var t=this,a=Object.keys(e).filter(function(e){return!t.graph.nodes[e]});if(a.length>0)throw new Error("The dict provided in model.execute(dict) has keys: ["+a+"] that are not part of graph")},e.prototype.checkOutputs=function(e){var t=this;e.forEach(function(e){var a=h(e)[0];if(!t.graph.nodes[a])throw new Error("The output '"+e+"' is not found in the graph")})},e}(),Re="?tfjs-format=file",Pe="model.json",Le=function(){function e(e,t){void 0===t&&(t={}),this.modelUrl=e,this.loadOptions=t,this.version="n/a",null==t&&(this.loadOptions={})}return Object.defineProperty(e.prototype,"modelVersion",{get:function(){return this.version},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputNodes",{get:function(){return this.executor.inputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputNodes",{get:function(){return this.executor.outputNodes},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"inputs",{get:function(){return this.executor.inputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"outputs",{get:function(){return this.executor.outputs},enumerable:!0,configurable:!0}),Object.defineProperty(e.prototype,"weights",{get:function(){return this.executor.weightMap},enumerable:!0,configurable:!0}),e.prototype.findIOHandler=function(){var e=this.modelUrl;if(null!=e.load)this.handler=e;else if(null!=this.loadOptions.requestInit)this.handler=r.io.browserHTTPRequest(e,this.loadOptions);else{var t=r.io.getLoadHandlers(e,this.loadOptions.onProgress);if(0===t.length)t.push(r.io.browserHTTPRequest(e,this.loadOptions));else if(t.length>1)throw new Error("Found more than one ("+t.length+") load handlers for URL '"+[e]+"'");this.handler=t[0]}},e.prototype.load=function(){return s(this,void 0,void 0,function(){var e,t,a;return o(this,function(n){switch(n.label){case 0:if(this.findIOHandler(),null==this.handler.load)throw new Error("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,this.handler.load()];case 1:return e=n.sent(),t=e.modelTopology,this.version=t.versions.producer+"."+t.versions.minConsumer,a=r.io.decodeWeights(e.weightData,e.weightSpecs),this.executor=new je(Z.Instance.transformGraph(t)),this.executor.weightMap=this.convertTensorMapToTensorsMap(a),[2,!0]}})})},e.prototype.predict=function(e,t){return this.execute(e,this.outputNodes)},e.prototype.normalizeInputs=function(e){if(!(e instanceof r.Tensor||Array.isArray(e)))return e;if((e=Array.isArray(e)?e:[e]).length!==this.inputNodes.length)throw new Error("Input tensor count mismatch,the graph model has "+this.inputNodes.length+" placeholders, while there are "+e.length+" input tensors.");return this.inputNodes.reduce(function(t,a,r){return t[a]=e[r],t},{})},e.prototype.normalizeOutputs=function(e){return e=e||this.outputNodes,Array.isArray(e)?e:[e]},e.prototype.execute=function(e,t){e=this.normalizeInputs(e),t=this.normalizeOutputs(t);var a=this.executor.execute(e,t);return a.length>1?a:a[0]},e.prototype.executeAsync=function(e,t){return s(this,void 0,void 0,function(){var a;return o(this,function(r){switch(r.label){case 0:return e=this.normalizeInputs(e),t=this.normalizeOutputs(t),[4,this.executor.executeAsync(e,t)];case 1:return[2,(a=r.sent()).length>1?a:a[0]]}})})},e.prototype.convertTensorMapToTensorsMap=function(e){return Object.keys(e).reduce(function(t,a){return t[a]=[e[a]],t},{})},e.prototype.dispose=function(){this.executor.dispose()},e}();function Be(e,t){return void 0===t&&(t={}),s(this,void 0,void 0,function(){var a;return o(this,function(r){switch(r.label){case 0:if(null==e)throw new Error("modelUrl in loadGraphModel() cannot be null. Please provide a url or an IOHandler that loads the model");return null==t&&(t={}),t.fromTFHub&&null==e.load&&(e.endsWith("/")||(e+="/"),e=""+e+Pe+Re),[4,(a=new Le(e,t)).load()];case 1:return r.sent(),[2,a]}})})}exports.GraphModel=Le;var qe="1.3.1";exports.version_converter=qe;
},{"@tensorflow/tfjs-core":"PqBP","buffer":"aMB2"}],"yqJr":[function(require,module,exports) {
"use strict";Object.defineProperty(exports,"__esModule",{value:!0}),exports.decodeMultiplePoses=F,exports.decodeSinglePose=z,exports.load=Nt,exports.getAdjacentKeyPoints=Z,exports.getBoundingBox=et,exports.getBoundingBoxPoints=rt,exports.scaleAndFlipPoses=gt,exports.scalePose=ot,exports.PoseNet=exports.poseChain=exports.partNames=exports.partIds=exports.partChannels=exports.MobileNet=void 0;var t=n(require("@tensorflow/tfjs-core")),e=require("@tensorflow/tfjs-converter");function r(){if("function"!=typeof WeakMap)return null;var t=new WeakMap;return r=function(){return t},t}function n(t){if(t&&t.__esModule)return t;var e=r();if(e&&e.has(t))return e.get(t);var n={};if(null!=t){var o=Object.defineProperty&&Object.getOwnPropertyDescriptor;for(var i in t)if(Object.prototype.hasOwnProperty.call(t,i)){var u=o?Object.getOwnPropertyDescriptor(t,i):null;u&&(u.get||u.set)?Object.defineProperty(n,i,u):n[i]=t[i]}}return n.default=t,e&&e.set(t,n),n}var o=function(t,e){return(o=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])})(t,e)};function i(t,e){function r(){this.constructor=t}o(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}var u=function(){return(u=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t}).apply(this,arguments)};function s(t,e,r,n){return new(r||(r=Promise))(function(o,i){function u(t){try{a(n.next(t))}catch(t){i(t)}}function s(t){try{a(n.throw(t))}catch(t){i(t)}}function a(t){t.done?o(t.value):new r(function(e){e(t.value)}).then(u,s)}a((n=n.apply(t,e||[])).next())})}function a(t,e){var r,n,o,i,u={label:0,sent:function(){if(1&o[0])throw o[1];return o[1]},trys:[],ops:[]};return i={next:s(0),throw:s(1),return:s(2)},"function"==typeof Symbol&&(i[Symbol.iterator]=function(){return 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n=this.model.inputs[0].shape;t.util.assert(-1===n[1]&&-1===n[2],function(){return"Input shape ["+n[1]+", "+n[2]+"] must both be equal to or -1"})}return e.prototype.predict=function(e){var r=this;return(0,t.tidy)(function(){var t=r.preprocessInput(e.toFloat()).expandDims(0),n=r.model.predict(t).map(function(t){return t.squeeze([0])}),o=r.nameOutputResults(n);return{heatmapScores:o.heatmap.sigmoid(),offsets:o.offsets,displacementFwd:o.displacementFwd,displacementBwd:o.displacementBwd}})},e.prototype.dispose=function(){this.model.dispose()},e}(),f=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return i(r,e),r.prototype.preprocessInput=function(e){return(0,t.tidy)(function(){return(0,t.div)(e,127.5).sub(1)})},r.prototype.nameOutputResults=function(t){return{offsets:t[0],heatmap:t[1],displacementFwd:t[2],displacementBwd:t[3]}},r}(l);function p(t){return Math.floor(t/2)}exports.MobileNet=f;var c=function(){function t(t,e){this.priorityQueue=new 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this.getValueAt(t)<this.getValueAt(e)},t.prototype.exchange=function(t,e){var r=this.priorityQueue[t];this.priorityQueue[t]=this.priorityQueue[e],this.priorityQueue[e]=r},t}();function h(t,e,r,n,o,i){for(var u=i.shape,s=u[0],a=u[1],l=!0,f=Math.max(r-o,0),p=Math.min(r+o+1,s),c=f;c<p;++c){for(var h=Math.max(n-o,0),d=Math.min(n+o+1,a),m=h;m<d;++m)if(i.get(c,m,t)>e){l=!1;break}if(!l)break}return l}function d(t,e,r){for(var n=r.shape,o=n[0],i=n[1],u=n[2],s=new c(o*i*u,function(t){return t.score}),a=0;a<o;++a)for(var l=0;l<i;++l)for(var f=0;f<u;++f){var p=r.get(a,l,f);p<t||h(f,p,a,l,e,r)&&s.enqueue({score:p,part:{heatmapY:a,heatmapX:l,id:f}})}return s}var m=["nose","leftEye","rightEye","leftEar","rightEar","leftShoulder","rightShoulder","leftElbow","rightElbow","leftWrist","rightWrist","leftHip","rightHip","leftKnee","rightKnee","leftAnkle","rightAnkle"],y=m.length,v=m.reduce(function(t,e,r){return t[e]=r,t},{}),g=[["leftHip","leftShoulder"],["leftElbow","leftShoulder"],["leftElbow","leftWrist"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["rightHip","rightShoulder"],["rightElbow","rightShoulder"],["rightElbow","rightWrist"],["rightHip","rightKnee"],["rightKnee","rightAnkle"],["leftShoulder","rightShoulder"],["leftHip","rightHip"]],b=[["nose","leftEye"],["leftEye","leftEar"],["nose","rightEye"],["rightEye","rightEar"],["nose","leftShoulder"],["leftShoulder","leftElbow"],["leftElbow","leftWrist"],["leftShoulder","leftHip"],["leftHip","leftKnee"],["leftKnee","leftAnkle"],["nose","rightShoulder"],["rightShoulder","rightElbow"],["rightElbow","rightWrist"],["rightShoulder","rightHip"],["rightHip","rightKnee"],["rightKnee","rightAnkle"]],w=g.map(function(t){var 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ee;if("HeNormal"===e)return new re;if("HeUniform"===e)return new ie;if("LeCunNormal"===e)return new ae;if("LeCunUniform"===e)return new se;var n={};return n.className=e,n.config={},le(n)}return t instanceof Jt?t:le(t)}function pe(){return new Ht}function fe(){return new Zt}function de(t){return new Kt(t)}function ge(t){return new Gt(t)}function me(t){return new Yt(t)}function ye(t){return new Xt(t)}function ve(t){return new $t(t)}function be(t){return new te(t)}function we(t){return new ee(t)}function ze(t){return new ne(t)}function ke(t){return new re(t)}function Se(t){return new ie(t)}function Ne(t){return new ae(t)}function Ce(t){return new se(t)}function Ae(t){return new oe(t)}var Ie=Object.freeze({zeros:pe,ones:fe,constant:de,randomUniform:ge,randomNormal:me,truncatedNormal:ye,identity:ve,varianceScaling:be,glorotUniform:we,glorotNormal:ze,heNormal:ke,heUniform:Se,leCunNormal:Ne,leCunUniform:Ce,orthogonal:Ae}),xe=0;function Te(){return xe++}exports.initializers=Ie;var Le={};function Ee(t){return void 0===t&&(t=""),t in Le||(Le[t]=0),Le[t]+=1,t+Le[t].toString()}function Oe(t){return Array.isArray(t)&&Array.isArray(t[0])}function De(t){return 0===t.length?[]:Array.isArray(t[0])?t:[t]}function Re(t){var e;if(Array.isArray(t)){if(1!==t.length)throw new h("Expected Tensor length to be 1; got "+t.length);e=t[0]}else e=t;return e}function Fe(t){if(Array.isArray(t)&&Array.isArray(t[0])){if(1===t.length)return(t=t)[0];throw new h("Expected exactly 1 Shape; got "+t.length)}return t}function _e(t){for(var e=0,n=0,r=t;n<r.length;n++){var i=r[n];0===i.shape.length?e+=1:e+=i.shape.reduce(function(t,e){return t*e})}return e}var Me="Variable",Be=function(){function e(e,n,r,i,a){void 0===n&&(n="float32"),void 0===r&&(r=Me),void 0===i&&(i=!0),void 0===a&&(a=null),this.dtype=null==n?"float32":n,this.shape=e.shape,this.id=Te(),r=null==r?Me:r,this.originalName=lt(r),this.name=ct(this.originalName),this.trainable_=i,this.constraint=a,this.val=(0,t.variable)(e,this.trainable_,this.name,this.dtype)}return e.prototype.read=function(){return this.assertNotDisposed(),this.val},e.prototype.write=function(t){return this.assertNotDisposed(),Pe(this.val,t),this.val.id!==t.id&&(this.val.assign(t),null!=this.constraint&&this.val.assign(this.constraint.apply(this.val))),this},e.prototype.dispose=function(){this.assertNotDisposed(),this.val.dispose()},e.prototype.assertNotDisposed=function(){if(this.val.isDisposed)throw new Error("LayersVariable "+this.name+" is already disposed.")},Object.defineProperty(e.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this.trainable_=t,this.val.trainable=t},enumerable:!0,configurable:!0}),e}();function Pe(t,e){if(t.shape.toString()!==e.shape.toString())throw new Error("Shape mismatch: "+JSON.stringify(t.shape)+" vs. "+JSON.stringify(e.shape))}function je(t){return t.map(function(t){return t.read()})}function We(t){t.forEach(function(t){t[0].write(t[1])})}exports.LayerVariable=Be;var Ue=function(t){this.dtype=t.dtype,this.shape=t.shape,null!=t.shape?this.ndim=t.shape.length:this.ndim=t.ndim,this.maxNDim=t.maxNDim,this.minNDim=t.minNDim,this.axes=t.axes||{}},Ve=function(t,e,n,r,i,a,s){this.dtype=t,this.shape=e,this.sourceLayer=n,this.inputs=r,this.callArgs=i,this.outputTensorIndex=s,this.id=Te(),null!=a&&(this.originalName=lt(a),this.name=ct(this.originalName)),this.rank=e.length},qe=0,Je=function(){function t(t,e){this.callArgs=e,this.id=qe++,this.outboundLayer=t.outboundLayer,this.inboundLayers=t.inboundLayers,this.nodeIndices=t.nodeIndices,this.tensorIndices=t.tensorIndices,this.inputTensors=t.inputTensors,this.outputTensors=t.outputTensors,this.inputMasks=t.inputMasks,this.outputMasks=t.outputMasks,this.inputShapes=t.inputShapes,this.outputShapes=t.outputShapes;for(var n=0,r=t.inboundLayers;n<r.length;n++){var i=r[n];null!=i&&i.outboundNodes.push(this)}t.outboundLayer.inboundNodes.push(this)}return t.prototype.getConfig=function(){for(var t=[],e=0,n=this.inboundLayers;e<n.length;e++){var r=n[e];null!=r?t.push(r.name):t.push(null)}return{outboundLayer:this.outboundLayer?this.outboundLayer.name:null,inboundLayers:t,nodeIndices:this.nodeIndices,tensorIndices:this.tensorIndices}},t}(),He=0,Ze=function(e){function r(t){var n=e.call(this)||this;n._callHook=null,n._addedWeightNames=[],n._stateful=!1,n.id=He++,n.activityRegularizer=null,n.inputSpec=null,n.supportsMasking=!1,n._trainableWeights=[],n._nonTrainableWeights=[],n._losses=[],n._updates=[],n._built=!1,n.inboundNodes=[],n.outboundNodes=[];var r=t.name;if(!r){var i=n.getClassName();r=w(i)+"_"+Ee(i)}if(n.name=r,n.trainable_=null==t.trainable||t.trainable,null!=t.inputShape||null!=t.batchInputShape){var a=void 0;if(null!=t.batchInputShape)a=t.batchInputShape;else if(null!=t.inputShape){var s=null;null!=t.batchSize&&(s=t.batchSize),a=[s].concat(t.inputShape)}n.batchInputShape=a;var o=t.dtype;null==o&&(o=t.inputDType),null==o&&(o="float32"),n.dtype=o}return null!=t.weights?n.initialWeights=t.weights:n.initialWeights=null,n._refCount=null,n.fastWeightInitDuringBuild=!1,n}return n(r,e),r.nodeKey=function(t,e){return t.name+"_ib-"+e.toString()},r.prototype.getNodeAtIndex=function(t,e){if(0===this.inboundNodes.length)throw new c("The layer has never been called and thus has no defined "+e+".");if(this.inboundNodes.length<=t)throw new h("Asked to get "+e+" at node "+t+", but the layer has only "+this.inboundNodes.length+" inbound nodes.");return this.inboundNodes[t]},r.prototype.getInputAt=function(t){return v(this.getNodeAtIndex(t,"input").inputTensors)},r.prototype.getOutputAt=function(t){return v(this.getNodeAtIndex(t,"output").outputTensors)},Object.defineProperty(r.prototype,"input",{get:function(){if(this.inboundNodes.length>1)throw new l("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer input" is ill-defined. Use `getInputAt(nodeIndex)` instead.');if(0===this.inboundNodes.length)throw new l("Layer "+this.name+" is not connected, no input to return.");return v(this.getNodeAtIndex(0,"input").inputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"output",{get:function(){if(0===this.inboundNodes.length)throw new l("Layer "+this.name+" has no inbound nodes.");if(this.inboundNodes.length>1)throw new l("Layer "+this.name+' has multiple inbound nodes, hence the notion of "layer output" is ill-defined. Use `getOutputAt(nodeIndex)` instead.');return v(this.getNodeAtIndex(0,"output").outputTensors)},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"losses",{get:function(){return this._losses},enumerable:!0,configurable:!0}),r.prototype.calculateLosses=function(){return this.losses.map(function(t){return t()})},Object.defineProperty(r.prototype,"updates",{get:function(){return this._updates},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"built",{get:function(){return this._built},set:function(t){this._built=t},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this._trainableWeights.forEach(function(e){return e.trainable=t}),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"trainableWeights",{get:function(){return this.trainable_?this._trainableWeights.filter(function(t){return t.trainable}):[]},set:function(t){this._trainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this._trainableWeights.filter(function(t){return!t.trainable}).concat(this._nonTrainableWeights):this._trainableWeights.concat(this._nonTrainableWeights)},set:function(t){this._nonTrainableWeights=t},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"stateful",{get:function(){return this._stateful},enumerable:!0,configurable:!0}),r.prototype.resetStates=function(){if(!this.stateful)throw new Error("Cannot call the resetStates() method of a non-stateful Layer object.")},r.prototype.assertInputCompatibility=function(t){if(t=b(t),null!=this.inputSpec&&0!==this.inputSpec.length){var e=b(this.inputSpec);if(t.length!==e.length)throw new h("Layer "+this.name+" expects "+e.length+" inputs, but it received "+t.length+" input tensors. Input received: "+t);for(var n=0;n<t.length;n++){var r=t[n],i=e[n];if(null!=i){var a=r.rank;if(null!=i.ndim&&a!==i.ndim)throw new h("Input "+n+" is incompatible with layer "+this.name+": expected ndim="+i.ndim+", found ndim="+a);if(null!=i.maxNDim&&a>i.maxNDim)throw new h("Input "+n+" is incompatible with layer "+this.name+": expected max_ndim="+i.maxNDim+", found ndim="+a);if(null!=i.minNDim&&a<i.minNDim)throw new h("Input "+n+" is incompatible with layer "+this.name+": expected min_ndim="+i.minNDim+", found ndim="+a+".");if(null!=i.dtype&&r.dtype!==i.dtype)throw new h("Input "+n+" is incompatible with layer "+this.name+" : expected dtype="+i.dtype+", found dtype="+r.dtype+".");if(i.axes){var s=r.shape;for(var o in i.axes){var u=Number(o),l=i.axes[o],c=u>=0?s[u]:s[s.length+u];if(null!=l&&-1===[l,null].indexOf(c))throw new h("Input "+n+" is incompatible with layer "+this.name+": expected axis "+u+" of input shape to have value "+l+" but got shape "+s+".")}}if(null!=i.shape)for(var p=0;p<i.shape.length;++p){var f=i.shape[p],d=r.shape[p];if(null!=f&&null!=d&&f!==d)throw new h("Input "+n+" is incompatible with layer "+this.name+": expected shape="+i.shape+", found shape="+r.shape+".")}}}}},r.prototype.call=function(t,e){return t},r.prototype.invokeCallHook=function(t,e){null!=this._callHook&&this._callHook(t,e)},r.prototype.setCallHook=function(t){this._callHook=t},r.prototype.clearCallHook=function(){this._callHook=null},r.prototype.apply=function(t,e){var n=this;e=e||{},this.assertNotDisposed();for(var r=b(t),i=!0,a=0,s=r;a<s.length;a++)if(!(s[a]instanceof Ve)){i=!1;break}for(var o=!0,u=0,l=r;u<l.length;u++)if(l[u]instanceof Ve){o=!1;break}if(i===o)throw new h("Arguments to apply() must be all SymbolicTensors or all Tensors");return ot(this.name,function(){if(!n.built){n.assertInputCompatibility(t);for(var i=[],a=0,s=b(t);a<s.length;a++){var u=s[a];i.push(u.shape)}n.build(v(i)),n.built=!0,n.initialWeights&&n.setWeights(n.initialWeights),null===n._refCount&&o&&(n._refCount=1)}if(n.assertInputCompatibility(t),o){for(var l=[],c=0,h=b(m=n.call(t,e));c<h.length;c++){var f=h[c];-1!==r.indexOf(f)&&(f=f.clone()),l.push(f)}if(m=v(l),null!=n.activityRegularizer)throw new p("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m}var d=Ke(t),g=n.computeOutputShape(d),m=void 0,y=Ge(t);if(n.warnOnIncompatibleInputShape(Array.isArray(t)?d[0]:d),m=null!=g&&g.length>0&&Array.isArray(g[0])?g.map(function(r,i){return new Ve(y,r,n,b(t),e,n.name,i)}):new Ve(y,g,n,b(t),e,n.name),n.addInboundNode(t,m,null,null,d,g,e),n._refCount++,null!=n.activityRegularizer)throw new p("Layer invocation in the presence of activity regularizer(s) is not supported yet.");return m})},r.prototype.warnOnIncompatibleInputShape=function(t){if(null!=this.batchInputShape)if(t.length!==this.batchInputShape.length)console.warn("The rank of the input tensor provided (shape: "+JSON.stringify(t)+") does not match that of the batchInputShape ("+JSON.stringify(this.batchInputShape)+") of the layer "+this.name);else{var e=!1;this.batchInputShape.forEach(function(n,r){null!=n&&null!=t[r]&&t[r]!==n&&(e=!0)}),e&&console.warn("The shape of the input tensor ("+JSON.stringify(t)+") does not match the expectation of layer "+this.name+": "+JSON.stringify(this.batchInputShape))}},Object.defineProperty(r.prototype,"outputShape",{get:function(){if(null==this.inboundNodes||0===this.inboundNodes.length)throw new l("The layer "+this.name+" has never been called and thus has no defined output shape.");for(var t=[],e=0,n=this.inboundNodes;e<n.length;e++){var r=n[e],i=JSON.stringify(r.outputShapes);-1===t.indexOf(i)&&t.push(i)}if(1===t.length){var a=this.inboundNodes[0].outputShapes;return Array.isArray(a)&&Array.isArray(a[0])&&1===a.length?a[0]:a}throw new l("The layer "+this.name+' has multiple inbound nodes with different output shapes. Hence the notion of "outut shape" is ill-defined for the layer.')},enumerable:!0,configurable:!0}),r.prototype.countParams=function(){if(!this.built)throw new c("You tried to call countParams() on "+this.name+", but the layer is not built yet. Build it first by calling build(batchInputShape).");return _e(this.weights)},r.prototype.build=function(t){this.built=!0},r.prototype.getWeights=function(t){return void 0===t&&(t=!1),je(t?this.trainableWeights:this.weights)},r.prototype.setWeights=function(e){var n=this;(0,t.tidy)(function(){var r=n.weights;if(r.length!==e.length)throw new h('You called setWeights(weights) on layer "'+n.name+'" with a weight list of length '+e.length+", but the layer was expecting "+r.length+" weights. Provided weights: "+e+"...");if(0!==r.length){for(var i=[],a=je(r),s=0;s<a.length;++s){var o=a[s],u=r[s],l=e[s];if(!t.util.arraysEqual(o.shape,l.shape))throw new h("Layer weight shape "+o.shape+" not compatible with provided weight shape "+l.shape);i.push([u,l])}We(i)}})},r.prototype.addWeight=function(t,e,n,r,i,a,s){if(-1!==this._addedWeightNames.indexOf(t))throw new h("Duplicate weight name "+t+" for layer "+this.name);this._addedWeightNames.push(t),null==n&&(n="float32"),this.fastWeightInitDuringBuild&&(r=he("zeros"));var o=r.apply(e,n),u=new Be(o,n,t,a,s);return o.dispose(),null!=i&&this.addLoss(function(){return i.apply(u.read())}),null==a&&(a=!0),a?this._trainableWeights.push(u):this._nonTrainableWeights.push(u),u},r.prototype.setFastWeightInitDuringBuild=function(t){this.fastWeightInitDuringBuild=t},r.prototype.addLoss=function(t){var e;null==t||Array.isArray(t)&&0===t.length||(t=b(t),void 0!==this._losses&&null!==this._losses&&(e=this.losses).push.apply(e,t))},r.prototype.computeOutputShape=function(t){return t},r.prototype.computeMask=function(t,e){var n=this;if(!this.supportsMasking){if(null!=e){if(!Array.isArray(e))throw new TypeError("Layer "+this.name+" does not support masking, but was passed an inputMask.");e.forEach(function(t){if(null!=t)throw new TypeError("Layer "+n.name+" does not support masking, but was passed an inputMask.")})}return null}return e},r.prototype.addInboundNode=function(t,e,n,r,i,a,s){void 0===s&&(s=null);var o=b(t);e=b(e),n=b(n),r=b(r),i=De(i),a=De(a);for(var u=[],l=[],c=[],h=0,p=o;h<p.length;h++){var f=p[h];u.push(f.sourceLayer),l.push(f.nodeIndex),c.push(f.tensorIndex)}new Je({outboundLayer:this,inboundLayers:u,nodeIndices:l,tensorIndices:c,inputTensors:o,outputTensors:e,inputMasks:n,outputMasks:r,inputShapes:i,outputShapes:a},s);for(var d=0;d<e.length;d++)e[d].sourceLayer=this,e[d].nodeIndex=this.inboundNodes.length-1,e[d].tensorIndex=d},r.prototype.getConfig=function(){var t={name:this.name,trainable:this.trainable};return null!=this.batchInputShape&&(t.batchInputShape=this.batchInputShape),null!=this.dtype&&(t.dtype=this.dtype),t},r.prototype.disposeWeights=function(){return this.weights.forEach(function(t){return t.dispose()}),this.weights.length},r.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Layer '"+this.name+"' is already disposed.")},r.prototype.dispose=function(){if(!this.built)throw new Error("Cannot dispose Layer "+this.name+" because it has not been built yet.");if(null===this._refCount)throw new Error("Cannot dispose Layer "+this.name+" because it has not been used yet.");this.assertNotDisposed();var t=0;return 0==--this._refCount&&(t=this.disposeWeights()),{refCountAfterDispose:this._refCount,numDisposedVariables:t}},r}(t.serialization.Serializable);function Ke(t){for(var e=[],n=0,r=t=b(t);n<r.length;n++){var i=r[n];e.push(i.shape)}return v(e)}function Ge(t){return"float32"}function Ye(t,e,n){if((null==e||null!=n&&n>0)&&(e=t.sourceLayer,n=t.nodeIndex),0===e.inboundNodes.length)return[t];var r=e.inboundNodes[n];if(0===r.inboundLayers.length)return r.inputTensors;for(var i=[],a=0;a<r.inboundLayers.length;a++)for(var s=0,o=Ye(r.inputTensors[a],r.inboundLayers[a],r.nodeIndices[a]);s<o.length;s++){var u=o[s];-1===i.indexOf(u)&&i.push(u)}return i}exports.SymbolicTensor=Ve,exports.InputSpec=Ue;var Xe,$e=function(t){function e(e){var n=t.call(this,{dtype:e.dtype,name:null!=e.name?e.name:Ee("input").toString()})||this;if(null==e.batchSize&&(e.batchSize=null),null==e.sparse&&(e.sparse=!1),n.trainable=!1,n.built=!0,n.sparse=e.sparse,null!=e.inputShape&&null!=e.batchInputShape)throw new h("Only provide the inputShape OR batchInputShape argument to inputLayer, not both at the same time.");var r=e.batchInputShape;if(null==r){if(null==e.inputShape)throw new h("An InputLayer should be passed either a `batchInputShape` or an `inputShape`.");r=[e.batchSize].concat(e.inputShape)}else if(null!=e.batchSize)throw new h("Cannot specify batchSize if batchInputShape is specified when creating an InputLayer.");var i=e.dtype||"float32";n.batchInputShape=r,n.dtype=i,n.inputSpec=[{shape:r}];var a=new Ve(n.dtype,n.batchInputShape,n,[],{},n.name);return a.nodeIndex=0,a.tensorIndex=0,new Je({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:[a],outputTensors:[a],inputMasks:[null],outputMasks:[null],inputShapes:[r],outputShapes:[r]}),n}return n(e,t),e.prototype.apply=function(t,e){throw new h("Cannot pass any input to an InputLayer's apply() method. InputLayer name: "+this.name)},e.prototype.dispose=function(){return{refCountAfterDispose:this._refCount,numDisposedVariables:0}},e.prototype.getConfig=function(){return{batchInputShape:this.batchInputShape,dtype:this.dtype,sparse:this.sparse,name:this.name}},e.className="InputLayer",e}(Ze);function Qe(t){if(null==t.batchShape&&null==t.shape)throw new Error("Please provide to Input either a `shape` or a `batchShape` argument. Note that `shape` does not include the batch dimension.");if(null!=t.batchShape&&null!=t.shape)throw new h("Please provide either a `shape` or `batchShape` argument to Input, but not both.");var e=t.batchShape;null!=t.shape&&null==e&&(e=[null].concat(t.shape));var n=t.dtype;return null==n&&(n="float32"),new $e({batchInputShape:e,name:t.name,dtype:n,sparse:t.sparse}).inboundNodes[0].outputTensors[0]}function tn(e){return a(this,void 0,void 0,function(){var n,r,i,a,o,u,l,c;return s(this,function(s){switch(s.label){case 0:if(null==e)return[2];for(a in n=[],r=[],i=[],e)"number"!=typeof(o=e[a])&&(u=o,n.push(u.data()),r.push(a),i.push(u));return n.length>0?[4,Promise.all(n)]:[3,2];case 1:for(l=s.sent(),c=0;c<l.length;++c)e[r[c]]=l[c][0];(0,t.dispose)(i),s.label=2;case 2:return[2]}})})}function en(t){if(null!=t)for(var e in t){var n=t[e];"number"!=typeof n&&n.dispose()}}t.serialization.registerClass($e),function(t){t[t.SILENT=0]="SILENT",t[t.VERBOSE=1]="VERBOSE"}(Xe||(Xe={}));var 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null;if("string"==typeof t)return w(t);if("number"==typeof t||"boolean"==typeof t)return t;if(t instanceof Array){for(var n=[],r=t.length,i=0;i<r;++i){var a=t[i];ur(e,i,a)?n.push(a):n.push(cr(a,e))}return n}for(var s={},o=0,u=Object.keys(t);o<u.length;o++){var l=u[o],c=t[l];s[w(l)]="name"!==l&&"className"!==l||"string"!=typeof c?cr(c,l):c}return s}var hr="1.3.1";function pr(e,n){if(null==e.dtype||e.dtype===n.dtype)return n;try{return(0,t.cast)(n,e.dtype)}catch(r){throw new h("The dtype of the feed ("+n.dtype+") can not be cast to the dtype of the key '"+e.name+"' ("+e.dtype+").")}}exports.version_layers=hr;var fr=function(){function e(t){if(this.id2Value={},this.id2Mask={},this.name2Id={},t instanceof e)for(var n in t.id2Value)this.id2Value[n]=t.id2Value[n],n in t.id2Mask&&(this.id2Mask[n]=t.id2Mask[n]);else{if(null==t)return;for(var r=0,i=t;r<i.length;r++){var a=i[r];this.add(a.key,a.value)}}}return e.prototype.add=function(t,e,n){if(null!=this.id2Value[t.id])throw new h("Duplicate key: name="+t.name+", id="+t.id);return this.id2Value[t.id]=pr(t,e),this.name2Id[t.name]=t.id,null!=n&&(this.id2Mask[t.id]=n),this},e.prototype.addFeed=function(t){this.add(t.key,t.value)},e.prototype.hasKey=function(t){return null!=this.id2Value[t.id]},e.prototype.names=function(){return Object.keys(this.name2Id)},e.prototype.getValue=function(t){if(t instanceof Ve){if(null==this.id2Value[t.id])throw new h("Nonexistent key: "+t.name);return this.id2Value[t.id]}var e=this.name2Id[t];if(null==e)throw new h("Feed dict has no SymbolicTensor name: "+t);return this.id2Value[e]},e.prototype.getMask=function(t){if(t instanceof Ve){if(null==this.id2Value[t.id])throw new h("Nonexistent key: "+t.name);return this.id2Mask[t.id]}var e=this.name2Id[t];if(null==e)throw new h("Feed dict has no SymbolicTensor name: "+t);return this.id2Mask[e]},e.prototype.disposeMasks=function(){null!=this.id2Mask&&(0,t.dispose)(this.id2Mask)},e}(),dr={},gr={};function mr(e,n,r,i){for(var a=null!=r&&r.training,s=Array.isArray(e),o=s?e:[e],u=o.map(function(t){return t.name}),l=[],c=n.names(),h=0,p=u;h<p.length;h++){var f=p[h];-1!==c.indexOf(f)?l.push(n.getValue(f)):l.push(null)}null!=i&&(i.maxNumTensors=-1/0,i.minNumTensors=1/0);var d,g,m=u.join(",")+"|"+n.names().join(",");if(null==dr[m]){var y=yr(o,n);d=y.sorted,g=y.recipientCounts,dr[m]=d,gr[m]=g}d=dr[m],g={},a||Object.assign(g,gr[m]);for(var v=new fr(n),w=0;w<d.length;++w){if(null!=i){var z=(0,t.memory)().numTensors;z>i.maxNumTensors&&(i.maxNumTensors=z),z<i.minNumTensors&&(i.minNumTensors=z)}var k=d[w],S=k.sourceLayer;if(!(S instanceof $e)){for(var N=[],C=[],A=[],I=!1,x=0,T=k.inputs;x<T.length;x++){var L=T[x],E=v.getValue(L),O=v.getMask(L);N.push(E),C.push(O),null!=O&&(I=!0),a||(g[L.name]--,0!==g[L.name]||n.hasKey(L)||-1!==u.indexOf(L.name)||E.isDisposed||!0===L.sourceLayer.stateful||A.push(E))}I&&((r=r||{}).mask=C[0]);var D=b(S.apply(N,r)),R=null;S.supportsMasking&&(R=S.computeMask(N,C));for(var F=wr(k),_=Array.isArray(F)?F:[F],M=0;M<_.length;++M){v.hasKey(_[M])||v.add(_[M],D[M],Array.isArray(R)?R[0]:R);var B=u.indexOf(_[M].name);-1!==B&&(l[B]=D[M])}a||(0,t.dispose)(A)}}return v.disposeMasks(),s?l:l[0]}function yr(e,n){t.util.assert(null!=e&&e.length>0,function(){return"Expected at least one fetch, got none"});var r=[],i={};if(1===e.length){var a=br(e[0],n);r=a.sorted,i=a.recipientMap}else for(var s=new Set,o=0,u=e;o<u.length;o++){for(var l=br(u[o],n),c=l.sorted,h=l.recipientMap,p=0,f=c;p<f.length;p++){var d=f[p];s.has(d.name)||(r.push(d),s.add(d.name))}var g=function(t){null==i[t]&&(i[t]=new Set),h[t].forEach(function(e){return i[t].add(e)})};for(var m in h)g(m)}return{sorted:r,recipientCounts:vr(i)}}function vr(t){var e={};for(var n in t)e[n]=t[n].size;return e}function br(t,e){for(var n=new Set,r=[],i={},a=0,s=e.names();a<s.length;a++){var o=s[a];n.add(o)}var u=[],l=[];for(u.push(t);u.length>0;){var c=u[u.length-1];if(n.has(c.name))u.pop();else{var h=l[l.length-1]===u.length-1;if(0===c.inputs.length||h)u.pop(),r.push(c),n.add(c.name),h&&l.pop();else{l.push(u.length-1);for(var p=0,f=c.inputs;p<f.length;p++){var d=f[p];null==i[d.name]&&(i[d.name]=new Set),i[d.name].add(c.name),n.has(d.name)||u.push(d)}}}}return{sorted:r,recipientMap:i}}function wr(t){var e;if(1===t.sourceLayer.inboundNodes.length)e=t.sourceLayer.output;else{for(var n=null,r=0;r<t.sourceLayer.inboundNodes.length;++r)for(var i=0,a=t.sourceLayer.inboundNodes[r].outputTensors;i<a.length;i++)if(a[i].id===t.id){n=r;break}e=t.sourceLayer.getOutputAt(n)}return e}var zr=function(e){function r(t){var n=e.call(this,{})||this;if(n.containerNodes=new Set,n.name=t.name,null==n.name){var i=n.getClassName().toLowerCase();n.name=Ee(i)}if(n.supportsMasking=!1,n.trainable_=!0,Array.isArray(t.inputs)?n.inputs=t.inputs.slice():n.inputs=[t.inputs],Array.isArray(t.outputs)?n.outputs=t.outputs.slice():n.outputs=[t.outputs],x(n.inputs).length!==n.inputs.length)throw new h("The list of inputs passed to the model is redundant. All inputs should only appear once. Found: "+n.inputs.map(function(t){return t.name}));x(n.outputs).length!==n.outputs.length&&console.warn("The list of outputs passed to the model is redundant. All outputs should only appear once. Found: "+n.outputs.map(function(t){return t.name})),n.inputLayers=[],n.inputLayersNodeIndices=[],n.inputLayersTensorIndices=[],n.outputLayers=[],n.outputLayersNodeIndices=[],n.outputLayersTensorIndices=[],n.layers=[],n.internalContainerRefs=[];for(var a=0,s=n.outputs;a<s.length;a++){var o=(E=s[a]).sourceLayer,u=E.nodeIndex,l=E.tensorIndex;n.outputLayers.push(o),n.outputLayersNodeIndices.push(u),n.outputLayersTensorIndices.push(l)}for(var p=0,f=n.inputs;p<f.length;p++)o=(E=f[p]).sourceLayer,u=E.nodeIndex,l=E.tensorIndex,m(0===u,"input layer has >1 nodes"),m(0===l,"input layer has >1 tensors"),n.inputLayers.push(o),n.inputLayersNodeIndices.push(u),n.inputLayersTensorIndices.push(l);n.inputNames=[],n.outputNames=[],n.feedInputShapes=[],n.feedInputNames=[],n.feedOutputNames=[];for(var d=0;d<n.inputLayers.length;d++){if(!((o=n.inputLayers[d])instanceof $e))throw new TypeError("Input layers to a LayersModel must be InputLayer objects. Received inputs: "+t.inputs+". Input "+d+" (0-based) originates from layer type "+o.getClassName()+".");n.inputNames.push(o.name),n.feedInputShapes.push(o.batchInputShape),n.feedInputNames.push(o.name)}for(var g=0,y=n.outputLayers;g<y.length;g++)o=y[g],n.outputNames.push(o.name);n.internalInputShapes=n.inputs.map(function(t){return t.shape}),n.internalOutputShapes=n.outputs.map(function(t){return t.shape});for(var v={},b={},w={},z={},k={},S=[],N=function(t,e,i,a,s,o){null!=a&&null!=s&&null!=o||(a=t.sourceLayer,s=t.nodeIndex,o=t.tensorIndex);var u=a.inboundNodes[s];if(-1!==i.indexOf(u))throw new c("The tensor "+t.name+' at layer "'+a.name+'" is part of a cycle.');if(-1===e.indexOf(u)){n.containerNodes.add(r.nodeKey(a,s)),a.id in k||(k[a.id]=Object.keys(k).length),-1===i.indexOf(u)&&i.push(u);for(var l=u.inboundLayers.length,h=0;h<l;h++){var p=u.inputTensors[h],f=u.inboundLayers[h],d=u.nodeIndices[h],g=u.tensorIndices[h];N(p,e,i,f,d,g)}for(e.push(u);i.indexOf(u)>=0;)i.splice(i.indexOf(u),1);S.push(u)}},C=[],A=[],T=0,L=n.outputs;T<L.length;T++){var E=L[T];N(E,C,A)}for(var O=0,D=S.slice().reverse();O<D.length;O++){b[(et=D[O]).id]=et,et.id in v||(v[et.id]=0);var R=v[et.id],F=null==w[et.outboundLayer.id]?0:w[et.outboundLayer.id];for(R=Math.max(R,F),w[et.outboundLayer.id]=R,z[et.outboundLayer.id]=et.outboundLayer,v[et.id]=R,d=0;d<et.inboundLayers.length;d++){var _=et.inboundLayers[d],M=(u=et.nodeIndices[d],_.inboundNodes[u]),B=null==v[M.id]?0:v[M.id];v[M.id]=Math.max(R+1,B),b[M.id]=M}}var P={};for(var j in v)(R=v[j])in P||(P[R]=[]),P[R].push(b[j]);var W={};for(var U in w)(R=w[U])in W||(W[R]=[]),W[R].push(z[U]);var V=Object.keys(W).map(function(t){return parseInt(t,10)}).sort(I);n.layers=[];for(var q=0,J=V;q<J.length;q++){var H=W[R=J[q]];H.sort(function(t,e){var n=k[t.id],r=k[e.id];return n<r?-1:n>r?1:0});for(var Z=0,K=H;Z<K.length;Z++)(o=K[Z])instanceof r&&n.internalContainerRefs.push(o),n.layers.push(o)}n.layersByDepth=W,V=Object.keys(P).map(function(t){return parseInt(t,10)}).sort(I);for(var G=n.inputs.slice(),Y=[],X=0,$=V;X<$.length;X++)for(var Q=0,tt=P[R=$[X]];Q<tt.length;Q++){var et;if(null!=(o=(et=tt[Q]).outboundLayer)){for(var nt=0,rt=et.inputTensors;nt<rt.length;nt++)if(E=rt[nt],-1===G.indexOf(E))throw new c("Graph disconnected: cannot obtain value for tensor "+E+' at layer "'+o.name+'". The following previous layers were accessed without issue: '+Y);for(var it=0,at=et.outputTensors;it<at.length;it++)E=at[it],G.push(E);Y.push(o.name)}}n.nodesByDepth=P;for(var st=n.layers.map(function(t){return t.name}),ot=function(t){var e=st.filter(function(e){return e===t}).length;if(1!==e)throw new c('The name "'+t+'" is used '+e+" times in the model. All layer names should be unique. Layer names: "+JSON.stringify(st))},ut=0,lt=st;ut<lt.length;ut++)ot(lt[ut]);return n.outboundNodes=[],n.inboundNodes=[],new Je({outboundLayer:n,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:n.inputs,outputTensors:n.outputs,inputMasks:n.inputs.map(function(t){return null}),outputMasks:n.outputs.map(function(t){return null}),inputShapes:n.inputs.map(function(t){return t.shape}),outputShapes:n.outputs.map(function(t){return t.shape})}),n.built=!0,n._refCount=1,n}return n(r,e),r.prototype.assertNotDisposed=function(){if(0===this._refCount)throw new Error("Container '"+this.name+"' is already disposed.")},r.prototype.dispose=function(){this.assertNotDisposed();var t={refCountAfterDispose:null,numDisposedVariables:0};if(0==--this._refCount){for(var e=0,n=this.layers;e<n.length;e++){var r=n[e];t.numDisposedVariables+=r.dispose().numDisposedVariables}for(var i=0,a=this.internalContainerRefs;i<a.length;i++){var s=a[i];t.numDisposedVariables+=s.dispose().numDisposedVariables}}return t.refCountAfterDispose=this._refCount,t},Object.defineProperty(r.prototype,"trainable",{get:function(){return this.trainable_},set:function(t){this.layers.forEach(function(e){e._trainableWeights.forEach(function(e){return e.trainable=t})}),this.trainable_=t},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"trainableWeights",{get:function(){if(this._trainableWeights.length>0)throw new h("Container instance unexpectedly contains _trainableWeights.The trainable weights of a Container are a union of the trainable weights of its consituent Layers. Its own _trainableWeights must remain an empty Array.");if(!this.trainable)return[];for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t=t.concat(r.trainableWeights)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"nonTrainableWeights",{get:function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e];t.push.apply(t,r.nonTrainableWeights)}if(!this.trainable){for(var i=[],a=0,s=this.layers;a<s.length;a++)r=s[a],i.push.apply(i,r.trainableWeights);return i.concat(t)}return t},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"weights",{get:function(){return this.trainableWeights.concat(this.nonTrainableWeights)},enumerable:!0,configurable:!0}),r.prototype.loadWeights=function(t,e){void 0===e&&(e=!0);for(var n={},r=0,i=0,a=this.layers;i<a.length;i++)for(var s=0,o=a[i].weights;s<o.length;s++){var u=o[s];if(null!=n[u.originalName])throw new h("Duplicate weight name: "+u.originalName);n[u.originalName]=u,r++}var l=[];for(var c in t){if(null!=n[c])l.push([n[c],t[c]]);else if(e)throw new h("Provided weight data has no target variable: "+c);delete n[c]}if(e){var p=[];for(var f in n)p.push(f);if(p.length>0)throw new h(p.length+" of "+r+" weights are not set: "+p)}We(l)},r.prototype.updatedConfig=function(){var t=this.getConfig(),e={};return e.className=this.getClassName(),e.config=t,e.kerasVersion="tfjs-layers "+hr,e.backend="TensorFlow.js",e},r.prototype.toJSON=function(t,e){void 0===e&&(e=!0);var n=cr(this.updatedConfig());return e?JSON.stringify(n):n},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){e=b(e);for(var t=new fr,i=0;i<r.inputs.length;++i)t.add(r.inputs[i],e[i]);return mr(r.outputs,t,n)})},r.prototype.computeMask=function(e,n){var r=this;return(0,t.tidy)(function(){var t;return e=b(e),t=null==n?g(null,e.length):b(n),r.runInternalGraph(e,t)[1]})},r.prototype.computeOutputShape=function(t){var e=De(t);if(e.length!==this.inputLayers.length)throw new h("Invalid inputShape argument "+t+": model has "+this.inputLayers.length+" tensor inputs.");for(var n={},r=0;r<e.length;r++){var i=this.inputLayers[r],a=e[r];n[A=i.name+"_0_0"]=a}var s=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(I);if(s.length>1)for(var o=0,u=s;o<u.length;o++)for(var l=u[o],c=0,p=this.nodesByDepth[l];c<p.length;c++){var f=p[c];if(i=f.outboundLayer,-1===this.inputLayers.map(function(t){return t.id}).indexOf(i.id)){for(var d=[],g=0;g<f.inboundLayers.length;g++){var y=f.inboundLayers[g],b=f.nodeIndices[g],w=f.tensorIndices[g],z=n[A=y.name+"_"+b+"_"+w];d.push(z)}var k=De(i.computeOutputShape(v(d))),S=i.inboundNodes.indexOf(f);for(g=0;g<k.length;g++)n[A=i.name+"_"+S+"_"+g]=k[g]}}var N=[],C=[];for(r=0;r<this.outputLayers.length;r++){i=this.outputLayers[r],S=this.outputLayersNodeIndices[r],w=this.outputLayersTensorIndices[r];var A=i.name+"_"+S+"_"+w;C.push(A)}for(r=0;r<C.length;r++){var x=C[r];m(x in n),N.push(n[x])}return v(N)},r.prototype.runInternalGraph=function(t,e){null==e&&(e=g(null,t.length));for(var n={},r=0;r<this.inputs.length;++r){var i=this.inputs[r],a=t[r],s=e[r];n[i.id]=[a,s]}for(var o=0,u=Object.keys(this.nodesByDepth).map(function(t){return parseInt(t,10)}).sort(I);o<u.length;o++)for(var l=u[o],c=0,h=this.nodesByDepth[l];c<h.length;c++){for(var f=h[c],d=f.outboundLayer,y=f.inputTensors,v=f.outputTensors,w=new Array,z=0,k=y;z<k.length;z++)(i=k[z]).id in n&&w.push(n[i.id]);if(w.length===y.length){var S={},N=void 0,C=void 0,A=void 0,x=void 0;if(null!=f.callArgs&&(S=f.callArgs),1===w.length){var T=w[0],L=T[0],E=T[1];null==S.mask&&(S.mask=E),A=b(d.call(L,S)),x=b(d.computeMask(L,E)),N=[L],C=[E]}else N=w.map(function(t){return t[0]}),C=w.map(function(t){return t[1]}),null==S.mask&&(S.mask=C),A=b(d.call(N,S)),x=b(d.computeMask(N,C));if(d.activityRegularizer)throw new p("LayersModel invocation with concrete Tensor value(s) in the presence of activity regularizer(s) is not supported yet.");for(r=0;r<v.length;++r)i=v[r],a=A[r],s=x[r],n[i.id]=[a,s]}}for(var O=[],D=[],R=[],F=0,_=this.outputs;F<_.length;F++){m((i=_[F]).id in n,"Could not compute output "+i.name+" : "+i.id);var M=n[i.id],B=M[0];s=M[1],R.push(B.shape),O.push(B),D.push(s)}return[O,D,R]},r.prototype.buildNodeConversionMap=function(t){for(var e,n={},i=0,a=this.layers;i<a.length;i++){var s=a[i];e=s instanceof r?1:0;for(var o=0;o<s.inboundNodes.length;o++){var u=r.nodeKey(s,o);this.containerNodes.has(u)&&(n[u]=e,e+=1)}}return n},r.prototype.getLayer=function(t,e){if(null!=e){if(this.layers.length<=e)throw new h("Was asked to retrieve layer at index "+e+", but model only has "+this.layers.length+" layer(s).");return this.layers[e]}if(null==t)throw new h("Provide either a layer name or layer index");for(var n=0,r=this.layers;n<r.length;n++){var i=r[n];if(i.name===t)return i}throw new h("No such layer: "+t)},r.prototype.calculateLosses=function(){var e=this;return(0,t.tidy)(function(){for(var t=[],n=0,i=e.layers;n<i.length;n++)for(var a=i[n],s=0;s<a.inboundNodes.length;++s){var o=r.nodeKey(a,s);e.containerNodes.has(o)&&t.push.apply(t,a.calculateLosses())}return t})},r.prototype.getConfig=function(){for(var t={name:this.name},e=this.buildNodeConversionMap(this.layers),n=[],i=0,a=this.layers;i<a.length;i++){for(var s=(w=a[i]).getClassName(),o=w.getConfig(),u=[],l=0;l<w.inboundNodes.length;l++){var c=w.inboundNodes[l],h=r.nodeKey(w,l),p={};if(this.containerNodes.has(h)){if(c.callArgs)try{JSON.stringify(c.callArgs),p=c.callArgs}catch(t){console.warn("Layer "+w.name+" was passed non-serializable keyword arguments: "+c.callArgs+". 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The size is expected to be >= 1.")}throw new Error("Unexpected rank of target (y) tensor ("+e.rank+") during handling of class weights. The rank is expected to be 1 or 2.")}),l=(u=Array).from,[4,a.data()]);case 1:return o=l.apply(u,[s.sent()]),(0,t.dispose)(a),c=[],o.forEach(function(t){if(null==r[t])throw new Error("classWeight must contain all classes in the training data. The class "+t+" exists in the data but not in classWeight");c.push(r[t])}),[2,(0,t.tensor1d)(c,"float32")];case 2:return[2,null]}})})}function Cr(e,n){return(0,t.mul)(e,n)}var Ar=32;function Ir(e,n){var r,i,a=n;r=a.xs,i=a.ys,t.util.assert(null!=r&&null!=i,function(){return"A Dataset iterator for fitDataset() is expected to generate objects of the form `{xs: xVal, ys: yVal}`, where the two values may be `tf.Tensor`, an array of Tensors, or a map of string to Tensor.  The provided Dataset instead generates "+n});var s=xr("input",e.inputNames,r),o=xr("output",e.outputNames,i),u=s[0].shape[0];t.util.assert(s.length===e.inputs.length,function(){return"LayersModel has "+e.inputs.length+" inputs, but the dataset provides "+s.length+" inputs.  (Expected input keys: "+JSON.stringify(e.inputNames)+")"}),t.util.assert(o.length===e.outputs.length,function(){return"LayersModel has "+e.outputs.length+" outputs, but the dataset provides "+o.length+" outputs.  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Use LayersModel.compile(modelCompileConfig)."}),t.util.assert(null!=r,function(){return"For fitDataset(), the 2nd argument (config) is required, but it is not provided in this call."}),t.util.assert(null!=r.epochs&&r.epochs>0&&Number.isInteger(r.epochs),function(){return"For fitDataset(), config.epochs is expected to be a positive integer, but got "+r.epochs}),t.util.assert(!i||r.batchesPerEpoch>0&&Number.isInteger(r.batchesPerEpoch),function(){return"For fitDataset(), config.batchesPerEpoch is expected to be a positive integer if specified, but got "+r.batchesPerEpoch}),t.util.assert(null==r.validationSplit,function(){return"`validationSplit` is not supported by `fitDataset()`. Use validationData instead."}),e.isTraining)throw new Error("Cannot start training because another fit() call is ongoing.");e.isTraining=!0,s.label=1;case 1:return s.trys.push([1,,26,27]),a=null!=r.validationData,o=void 0,u=void 0,a&&(Or(r.validationData)?t.util.assert(null==r.validationBatches||r.validationBatches>0&&Number.isInteger(r.validationBatches),function(){return"For fitDataset() with dataset-based validation, config.validationBatches is expected not to be provided, or to be a positive integer, but got "+r.validationBatches}):(l=Tr(r.validationData),o=l.xs,u=l.ys)),c=e.makeTrainFunction(),h=e.getDedupedMetricsNames(),void 0,p=a?h.slice().concat(h.map(function(t){return"val_"+t})):h.slice(),f=ln(r.callbacks,r.yieldEvery),d=null==r.verbose?1:r.verbose,g=hn(f,d,r.epochs,null,null,Er(n,r),null,a,p),m=g.callbackList,y=g.history,m.setModel(e),e.history=y,[4,m.onTrainBegin()];case 2:return s.sent(),e.stopTraining_=!1,v=null==r.initialEpoch?0:r.initialEpoch,[4,n.iterator()];case 3:w=s.sent(),s.label=4;case 4:return v<r.epochs?(z={},[4,m.onEpochBegin(v)]):[3,23];case 5:return s.sent(),k=0,S=0,i?[3,7]:[4,n.iterator()];case 6:w=s.sent(),s.label=7;case 7:return!i||k<r.batchesPerEpoch?[4,w.next()]:[3,21];case 8:return N=s.sent(),i&&N.done?(console.warn("You provided `batchesPerEpoch` as "+r.batchesPerEpoch+", but your dataset iterator ran out of data after "+k+" batches; interrupting training. Make sure that your dataset can generate at least `batchesPerEpoch * epochs` batches (in this case, "+r.batchesPerEpoch*r.epochs+" batches). You may need to use the repeat() function when building your dataset."),[3,21]):null==N.value?[3,15]:(C=Ir(e,N.value),A=C.xs,I=C.ys,(x={}).batch=S,x.size=A[0].shape[0],[4,m.onBatchBegin(S,x)]);case 9:if(s.sent(),T=[],null==r.classWeight)return[3,13];L=Sr(r.classWeight,e.outputNames),P=0,s.label=10;case 10:return P<L.length?(O=(E=T).push,[4,Nr(I[P],null,L[P])]):[3,13];case 11:O.apply(E,[s.sent()]),s.label=12;case 12:return++P,[3,10];case 13:for(D=A.concat(I).concat(T),R=c(D),(0,t.dispose)(D),P=0;P<h.length;++P)F=h[P],_=R[P],x[F]=_,(0,t.keep)(_);return[4,m.onBatchEnd(S,x)];case 14:s.sent(),en(x),S++,k++,s.label=15;case 15:return(i?k>=r.batchesPerEpoch:N.done)?a?(M=void 0,Or(r.validationData)?(B=b,[4,e.evaluateDataset(r.validationData,{batches:r.validationBatches})]):[3,17]):[3,19]:[3,20];case 16:return M=B.apply(void 0,[s.sent()]),[3,18];case 17:M=b(e.evaluate(o,u,{batchSize:null==r.validationBatchSize?Ar:r.validationBatchSize,verbose:0})),s.label=18;case 18:for(P=0;P<e.metricsNames.length;++P)z["val_"+e.metricsNames[P]]=M[P];s.label=19;case 19:return[3,21];case 20:return e.stopTraining_?[3,21]:[3,7];case 21:return[4,m.onEpochEnd(v,z)];case 22:return s.sent(),v++,e.stopTraining_?[3,23]:[3,4];case 23:return[4,m.onTrainEnd()];case 24:return s.sent(),[4,e.history.syncData()];case 25:return s.sent(),[2,e.history];case 26:return e.isTraining=!1,[7];case 27:return[2]}})})}function Er(t,e){var n=null;return null!=e.batchesPerEpoch?n=e.batchesPerEpoch:Number.isFinite(t.size)&&(n=t.size),n}function Or(t){return"function"==typeof t.iterator}function Dr(t){return"function"==typeof t.next}function Rr(e,n,r){return a(this,void 0,void 0,function(){var i,a,o,u,l,c,h,f,d,g;return s(this,function(m){switch(m.label){case 0:if(i=null!=(r=r||{}).batches,a=e.testFunction,o=[],r.verbose>0)throw new p("Verbose mode is not implemented yet.");return t.util.assert(!i||r.batches>0&&Number.isInteger(r.batches),function(){return"Test loop expects `batches` to be a positive integer, but received "+JSON.stringify(r.batches)}),Dr(n)?(l=n,[3,3]):[3,1];case 1:return[4,n.iterator()];case 2:l=m.sent(),m.label=3;case 3:u=l,c=0,h=0,f=function(){var n;return s(this,function(s){switch(s.label){case 0:return[4,u.next()];case 1:return n=s.sent(),o=(0,t.tidy)(function(){if(n.value){var r=Ir(e,n.value),i=r.xs,s=r.ys,u=i.concat(s),l=(0,t.tidy)(function(){return a(u)});if((0,t.dispose)(u),0===h)for(var p=0;p<l.length;++p)o.push((0,t.scalar)(0));var f=u[0].shape[0],d=function(e){var n=l[e],r=o[e];o[e]=(0,t.tidy)(function(){return(0,t.add)(o[e],(0,t.mul)(f,n))}),h>0&&(0,t.dispose)(r)};for(p=0;p<l.length;++p)d(p);(0,t.dispose)(l),c+=f,++h}return o}),n.done?(i&&console.warn("Your dataset iterator ran out of data during evaluateDataset(). 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Use LayersModel.compile(modelCompileArgs).");for(var i=[],a=0;a<this.feedOutputShapes.length;++a){var s=this.feedOutputShapes[a];this.feedLossFns[a]===Sn?i.push(s.slice(0,s.length-1).concat([1])):i.push(s)}if(Zr(t=Hr(t,this.feedInputNames,this.feedInputShapes,!1,"input"),e=Hr(e,this.feedOutputNames,i,!1,"target"),null),Kr(e,this.feedLossFns,this.feedOutputShapes),this.stateful&&null!=r&&r>0&&t[0].shape[0]%r!=0)throw new h("In a stateful network, you should only pass inputs with a number of samples that is divisible by the batch size "+r+". Found: "+t[0].shape[0]+" sample(s).");return[t,e]},r.prototype.standardizeUserData=function(t,e,n,r,i,o){return void 0===i&&(i=!0),a(this,void 0,void 0,function(){var a,u,l,c,h,p,f,d;return s(this,function(s){switch(s.label){case 0:if(a=this.standardizeUserDataXY(t,e,i,o),u=a[0],l=a[1],null!=n)throw new Error("sample weight is not supported yet.");if(c=null,null==r)return[3,4];h=Sr(r,this.outputNames),c=[],p=0,s.label=1;case 1:return p<h.length?(d=(f=c).push,[4,Nr(l[p],null,h[p])]):[3,4];case 2:d.apply(f,[s.sent()]),s.label=3;case 3:return++p,[3,1];case 4:return[2,[u,l,c]]}})})},r.prototype.testLoop=function(e,n,r,i,a){var s=this;return void 0===i&&(i=0),(0,t.tidy)(function(){var o=s.checkNumSamples(n,r,a,"steps"),u=[];if(i>0)throw new p("Verbose mode is not implemented yet.");if(null!=a)throw new p("steps mode in testLoop() is not implemented yet");for(var l=Br(o,r),c=(0,t.tensor1d)(vt(0,o)),h=0;h<l.length;++h){var f=l[h][0],d=l[h][1],g=Nt(c,f,d-f),m=Mr(n,g),y=e(m);if(0===h)for(var v=0;v<y.length;++v)u.push((0,t.scalar)(0));for(v=0;v<y.length;++v){var b=y[v];u[v]=(0,t.add)(u[v],(0,t.mul)(d-f,b))}}for(v=0;v<u.length;++v)u[v]=(0,t.div)(u[v],o);return u})},r.prototype.getDedupedMetricsNames=function(){for(var t=this.metricsNames,e=[],n=0;n<t.length;++n){var r=t[n],i=r;y(t,r)>1&&(i+="_"+y(t.slice(0,n),r)),e.push(i)}return e},r.prototype.makeTrainFunction=function(){var e=this;return function(n){var r=[],i=n.slice(0,e.inputs.length),a=n.slice(e.inputs.length,e.inputs.length+e.outputs.length),s=n.slice(e.inputs.length+e.outputs.length,e.inputs.length+2*e.outputs.length),o=[],u=e.collectedTrainableWeights.map(function(t){return t.read()});return[e.optimizer_.minimize(function(){for(var n=[],u=0;u<e.inputs.length;++u)n.push({key:e.inputs[u],value:i[u]});var l,c=new fr(n),h=mr(e.outputs,c,{training:!0});for(u=0;u<e.lossFunctions.length;++u){var p=(0,e.lossFunctions[u])(a[u],h[u]);null!=s[u]&&(p=Cr(p,s[u]));var f=(0,t.mean)(p);r.push(f),l=0===u?p:(0,t.add)(l,p)}for(u=0;u<e.metricsTensors.length;++u){var d=void 0;if(e.outputs.length>1&&u<e.outputs.length)d=r[u];else{var g=e.metricsTensors[u][0],m=e.metricsTensors[u][1];d=(0,t.mean)(g(a[m],h[m]))}(0,t.keep)(d),o.push(d)}return l=(0,t.mean)(l),e.calculateLosses().forEach(function(e){l=(0,t.add)(l,e)}),l},!0,u)].concat(o)}},r.prototype.makeTestFunction=function(){var e=this;this.testFunction=function(n){return(0,t.tidy)(function(){for(var r,i=[],a=n.slice(0,e.inputs.length),s=n.slice(e.inputs.length,e.inputs.length+e.outputs.length),o=[],u=0;u<e.inputs.length;++u)o.push({key:e.inputs[u],value:a[u]});var l=new fr(o),c=mr(e.outputs,l);for(u=0;u<e.lossFunctions.length;++u){var h=e.lossFunctions[u],p=(0,t.mean)(h(s[u],c[u]));r=0===u?p:(0,t.add)(r,p),i.push(r)}for(u=0;u<e.metricsTensors.length;++u){var f=e.metricsTensors[u][0],d=e.metricsTensors[u][1],g=(0,t.mean)(f(s[d],c[d]));i.push(g)}return i})}},r.prototype.fit=function(t,e,n){return void 0===n&&(n={}),a(this,void 0,void 0,function(){return s(this,function(r){return[2,jr(this,t,e,n)]})})},r.prototype.fitDataset=function(t,e){return a(this,void 0,void 0,function(){return s(this,function(n){return[2,Lr(this,t,e)]})})},r.prototype.trainOnBatch=function(e,n){return a(this,void 0,void 0,function(){var r,i,a,o,u,l,c,h,p;return s(this,function(s){switch(s.label){case 0:return[4,this.standardizeUserData(e,n)];case 1:r=s.sent(),i=r[0],a=r[1],o=this.makeTrainFunction(),u=o(i.concat(a)),l=[],c=0,h=u,s.label=2;case 2:return c<h.length?[4,h[c].data()]:[3,5];case 3:p=s.sent(),l.push(p[0]),s.label=4;case 4:return c++,[3,2];case 5:return(0,t.dispose)(u),[2,v(l)]}})})},r.prototype.getNamedWeights=function(t){for(var e=[],n=null!=t&&t.trainableOnly,r=n?this.trainableWeights:this.weights,i=this.getWeights(n),a=0;a<r.length;++a)n&&!r[a].trainable||e.push({name:r[a].originalName,tensor:i[a]});return e},Object.defineProperty(r.prototype,"stopTraining",{get:function(){return this.stopTraining_},set:function(t){this.stopTraining_=t},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"optimizer",{get:function(){return this.optimizer_},set:function(t){this.optimizer_!==t&&(this.optimizer_=t,this.isOptimizerOwned=!1)},enumerable:!0,configurable:!0}),r.prototype.dispose=function(){var n=e.prototype.dispose.call(this);if(0===n.refCountAfterDispose&&null!=this.optimizer&&this.isOptimizerOwned){var r=(0,t.memory)().numTensors;this.optimizer_.dispose(),n.numDisposedVariables+=r-(0,t.memory)().numTensors}return n},r.prototype.getLossIdentifiers=function(){var t;if("string"==typeof this.loss)t=w(this.loss);else if(Array.isArray(this.loss)){for(var e=0,n=this.loss;e<n.length;e++)if("string"!=typeof n[e])throw new Error("Serialization of non-string loss is not supported.");t=this.loss.map(function(t){return w(t)})}else{var r=Object.keys(this.loss);t={};for(var i=this.loss,a=0,s=r;a<s.length;a++){var o=s[a];if("string"!=typeof i[o])throw new Error("Serialization of non-string loss is not supported.");t[o]=w(i[o])}}return t},r.prototype.getMetricIdentifiers=function(){if("string"==typeof this.metrics||"function"==typeof this.metrics)return[w(Xn(this.metrics))];if(Array.isArray(this.metrics))return this.metrics.map(function(t){return w(Xn(t))});var t={};for(var e in this.metrics)t[e]=w(Xn(this.metrics[e]));return t},r.prototype.getTrainingConfig=function(){return{loss:this.getLossIdentifiers(),metrics:this.getMetricIdentifiers(),optimizer_config:{class_name:this.optimizer.getClassName(),config:this.optimizer.getConfig()}}},r.prototype.loadTrainingConfig=function(t){if(null!=t.weighted_metrics)throw new Error("Loading weight_metrics is not supported yet.");if(null!=t.loss_weights)throw new Error("Loading loss_weights is not supported yet.");if(null!=t.sample_weight_mode)throw new Error("Loading sample_weight_mode is not supported yet.");var e,n,r=pn(lr(t.optimizer_config));if("string"==typeof t.loss)e=z(t.loss);else if(Array.isArray(t.loss))e=t.loss.map(function(t){return z(t)});else if(null!=t.loss)for(var i in e={},t.loss)e[i]=z(t.loss[i]);if(Array.isArray(t.metrics))n=t.metrics.map(function(t){return z(t)});else if(null!=t.metrics)for(var i in n={},t.metrics)n[i]=z(t.metrics[i]);this.compile({loss:e,metrics:n,optimizer:r})},r.prototype.save=function(e,n){return a(this,void 0,void 0,function(){var r,i,a,o,u,l,c,p,f,d,g;return s(this,function(s){switch(s.label){case 0:if("string"==typeof e){if(0===(r=t.io.getSaveHandlers(e)).length)throw new h("Cannot find any save handlers for URL '"+e+"'");if(r.length>1)throw new h("Found more than one ("+r.length+") save handlers for URL '"+e+"'");e=r[0]}if(null==e.save)throw new h("LayersModel.save() cannot proceed because the IOHandler provided does not have the `save` attribute defined.");return[4,t.io.encodeWeights(this.getNamedWeights(n))];case 1:return i=s.sent(),!1,null,a=this.toJSON(null,!1),o={modelTopology:a,format:Xr,generatedBy:"TensorFlow.js tfjs-layers v"+hr,convertedBy:null},null!=n&&n.includeOptimizer&&null!=this.optimizer?(o.trainingConfig=this.getTrainingConfig(),u="optimizer",d=(f=t.io).encodeWeights,[4,this.optimizer.getWeights()]):[3,4];case 2:return[4,d.apply(f,[s.sent(),u])];case 3:l=s.sent(),c=l.data,p=l.specs,(g=i.specs).push.apply(g,p),i.data=t.io.concatenateArrayBuffers([i.data,c]),s.label=4;case 4:return null!=this.userDefinedMetadata&&(!0,tr(this.userDefinedMetadata,this.name,!0),o.userDefinedMetadata=this.userDefinedMetadata),o.weightData=i.data,o.weightSpecs=i.specs,[2,e.save(o)]}})})},r.prototype.setUserDefinedMetadata=function(t){tr(t,this.name),this.userDefinedMetadata=t},r.prototype.getUserDefinedMetadata=function(){return this.userDefinedMetadata},r.className="Model",r}(zr);function Qr(e,n){return a(this,void 0,void 0,function(){var r,i,a,o,u,l,c,h;return s(this,function(s){switch(s.label){case 0:return"modelTopology"in e||(e={modelTopology:e}),null!=(r=(e=e).modelTopology).model_config&&(r=r.model_config),i=lr(r),a=pn(i,n),null==e.weightsManifest?[3,2]:[4,t.io.loadWeights(e.weightsManifest,e.pathPrefix,a.weights.map(function(t){return t.originalName}))];case 1:for(o=s.sent(),u={},l=0,c=a.weights;l<c.length;l++)h=c[l],u[h.originalName]=o[h.originalName];a.loadWeights(u),(0,t.dispose)(o),s.label=2;case 2:return[2,a]}})})}function ti(e,n){return a(this,void 0,void 0,function(){var r;return s(this,function(i){if(null==n&&(n={}),"string"==typeof e){if(0===(r=t.io.getLoadHandlers(e,n.onProgress)).length)r.push(t.io.browserHTTPRequest(e,n));else if(r.length>1)throw new h("Found more than one ("+r.length+") load handlers for URL '"+e+"'");e=r[0]}return[2,ei(e,void 0,n)]})})}function ei(e,n,r){return a(this,void 0,void 0,function(){var i,a,o,u,l,c,p,f,d;return s(this,function(s){switch(s.label){case 0:if(null==r&&(r={}),null==e.load)throw new h("Cannot proceed with model loading because the IOHandler provided does not have the `load` method implemented.");return[4,e.load()];case 1:if(i=s.sent(),null!=(a=i.modelTopology).model_config&&(a=a.model_config),o=null==r.strict||r.strict,u=null!=i.weightData&&null!=i.weightSpecs&&o,l=pn(lr(a),n,u),null!=(c=i.trainingConfig)&&l.loadTrainingConfig(c),null!=i.userDefinedMetadata&&l.setUserDefinedMetadata(i.userDefinedMetadata),null==i.weightData)return[3,4];if(null==i.weightSpecs)throw new h("LayersModel artifacts contains weight data, but not weight specs. Therefore loading of weights cannot proceed.");return p=ni(i.weightData,i.weightSpecs),f=p.modelWeights,d=p.optimizerWeights,l.loadWeights(f,o),null!=l.optimizer&&d.length>0?[4,l.optimizer.setWeights(d)]:[3,3];case 2:s.sent(),s.label=3;case 3:(0,t.dispose)(f),(0,t.dispose)(d.map(function(t){return t.tensor})),s.label=4;case 4:return[2,l]}})})}function ni(e,n){var r=t.io.decodeWeights(e,n),i={},a=[];return n.forEach(function(t){"optimizer"===t.group?a.push({name:t.name,tensor:r[t.name]}):i[t.name]=r[t.name]}),{modelWeights:i,optimizerWeights:a}}exports.LayersModel=$r,t.serialization.registerClass($r);var ri=function(e){function r(t){var n=e.call(this,{inputs:[],outputs:[]})||this;if(t=t||{},n.trainable=!0,n.built=!1,n.name=null!=t.name?t.name:Ee("sequential_"),null!=t.layers)for(var r=0,i=t.layers;r<i.length;r++){var a=i[r];n.add(a)}return n}return n(r,e),r.prototype.checkShape=function(t){if(t.inboundNodes[0].outputTensors[0].shape.some(function(t){return t<0}))throw new h("Negative dimension size caused by adding layer "+t.name+" with input shape ["+t.inboundNodes[0].inputTensors[0].shape+"]")},r.prototype.add=function(t){var e,n=t instanceof r||t instanceof $r;if(n){if(1!==(e=t).outputs.length)throw new h("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");if(1!==e.inputs.length)throw new h("All layers in a Sequential model should have a single input tensor. For multi-input layers, use the functional API.")}if(0===this.outputs.length){if(0===t.inboundNodes.length){if(null==t.batchInputShape)throw new h("The first layer in a Sequential model must get an `inputShape` or `batchInputShape` argument.");var i=Qe({batchShape:t.batchInputShape,dtype:t.dtype,name:t.name+"_input"});t.apply(i)}if(n)this.outputs=e.outputs,this.inputs=e.inputs;else{if(1!==t.inboundNodes.length)throw new h("A layer added to a Sequential model must not already be connected somewhere else. LayersModel received layer "+t.name+" which has "+t.inboundNodes.length+" pre-existing inbound connections.");if(1!==t.inboundNodes[0].outputTensors.length)throw new h("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[t.inboundNodes[0].outputTensors[0]],this.inputs=Ye(this.outputs[0])}this.inboundNodes=[],new Je({outboundLayer:this,inboundLayers:[],nodeIndices:[],tensorIndices:[],inputTensors:this.inputs,outputTensors:this.outputs,inputMasks:g(null,this.inputs.length),outputMasks:[null],inputShapes:this.inputs.map(function(t){return t.shape}),outputShapes:this.outputs[0].shape})}else{var a=t.apply(this.outputs[0]);if(Array.isArray(a))throw new TypeError("All layers in a Sequential model should have a single output tensor. For multi-output layers, use the functional API.");this.checkShape(t),this.outputs=[a],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}this.layers.push(t),this.built=!1},r.prototype.pop=function(){if(0===this.layers.length)throw new TypeError("There are no layers in the model.");if(this.layers.pop(),0===this.layers.length)this.outputs=[],this.inboundNodes=[],this.outboundNodes=[];else{var t=this.layers.length-1;this.layers[t].outboundNodes=[],this.outputs=[this.layers[t].output],this.inboundNodes[0].outputTensors=this.outputs,this.inboundNodes[0].outputShapes=[this.outputs[0].shape]}},r.prototype.call=function(t,e){return null==this.model&&this.build(),this.model.call(t,e)},r.prototype.build=function(t){if(Fe(t),0===this.inputs.length||0===this.outputs.length)throw new TypeError("Sequential model cannot be built: model is empty. Add some layers first.");this.model=new $r({inputs:this.inputs,outputs:this.outputs[0],name:this.name+"_model"}),this.model.trainable=this.trainable,this.supportsMasking=this.model.supportsMasking,this.inputLayers=this.model.inputLayers,this.inputLayersNodeIndices=this.model.inputLayersNodeIndices,this.inputLayersTensorIndices=this.model.inputLayersTensorIndices,this.outputLayers=this.model.outputLayers,this.outputLayersNodeIndices=this.model.outputLayersNodeIndices,this.outputLayersTensorIndices=this.model.outputLayersTensorIndices,this.nodesByDepth=this.model.nodesByDepth,this.containerNodes=this.model.containerNodes,this.outputNames=this.model.outputNames,this.inputNames=this.model.inputNames,this.built=!0},r.prototype.countParams=function(){return this.built||this.build(),e.prototype.countParams.call(this)},r.prototype.summary=function(t,n,r){void 0===r&&(r=console.log),this.built||this.build(),e.prototype.summary.call(this,t,n,r)},r.prototype.setWeights=function(t){null==this.model&&this.build(),this.model.setWeights(t)},r.prototype.evaluate=function(t,e,n){if(void 0===n&&(n={}),!this.built)throw new c("The model needs to be compiled before being used.");return this.model.evaluate(t,e,n)},r.prototype.evaluateDataset=function(t,e){return a(this,void 0,void 0,function(){return s(this,function(n){if(!this.built)throw new c("The model needs to be compiled before being used.");return[2,this.model.evaluateDataset(t,e)]})})},r.prototype.predict=function(t,e){return void 0===e&&(e={}),null==this.model&&this.build(),this.model.predict(t,e)},r.prototype.predictOnBatch=function(t){return null==this.model&&this.build(),this.model.predictOnBatch(t)},r.prototype.compile=function(t){this.build(),this.model.compile(t),this.optimizer_=this.model.optimizer,this.isOptimizerOwned=this.model.isOptimizerOwned,this.loss=this.model.loss,this.metrics=this.model.metrics,this.metricsTensors=this.model.metricsTensors,this.metricsNames=this.model.metricsNames},Object.defineProperty(r.prototype,"optimizer",{get:function(){return null==this.model?void 0:this.model.optimizer},set:function(t){this.model.optimizer=t},enumerable:!0,configurable:!0}),r.prototype.fit=function(t,e,n){return void 0===n&&(n={}),a(this,void 0,void 0,function(){return s(this,function(r){if(!this.built)throw new c("The model needs to be compiled before being used.");return[2,this.model.fit(t,e,n)]})})},r.prototype.fitDataset=function(t,e){return a(this,void 0,void 0,function(){return s(this,function(n){if(!this.built)throw new c("The model needs to be compiled before being used.");return[2,this.model.fitDataset(t,e)]})})},r.prototype.trainOnBatch=function(t,e){return a(this,void 0,void 0,function(){return s(this,function(n){return[2,this.model.trainOnBatch(t,e)]})})},r.fromConfig=function(e,n,i,a){var s;void 0===i&&(i={}),void 0===a&&(a=!1);var o={};if(n instanceof Array){if(null==n[0].className||"Merge"===n[0].className)throw new h("Legacy serialization format not supported yet.");s=n}else t.util.assert(null!=n.layers,function(){return"When the config data for a Sequential model is not an Array, it must be an Object that contains the 'layers' field."}),s=n.layers,delete n.layers,o=n;var u=new e(o);if(!(u instanceof r))throw new p("Sequential.fromConfig called on non-Sequential input: "+u);for(var l=0,c=s;l<c.length;l++){var f=pn(c[l],void 0,a);a&&f.setFastWeightInitDuringBuild(!0),u.add(f)}return u},Object.defineProperty(r.prototype,"stopTraining",{get:function(){if(null==this.model)throw new h("Cannot get the stopTraining property of a sequential model before it is compiled.");return this.model.stopTraining},set:function(t){if(null==this.model)throw new h("Cannot set the stopTraining property of a sequential model before it is compiled.");this.model.stopTraining=t},enumerable:!0,configurable:!0}),r.prototype.getConfig=function(){for(var t=[],e=0,n=this.layers;e<n.length;e++){var r=n[e],i={};i.className=r.getClassName(),i.config=r.getConfig(),t.push(i)}return{name:this.name,layers:t}},r.className="Sequential",r}($r);function ii(t){return new $r(t)}function ai(t){return new ri(t)}function si(t,e){return null==e&&(e={}),ti(t,e)}function oi(t){return Qe(t)}function ui(t,e){cn.registerCallbackConstructor(t,e)}exports.Sequential=ri,t.serialization.registerClass(ri);var li=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.getConfig=function(){return{}},e}(t.serialization.Serializable),ci=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.apply=function(t,e){return void 0===e&&(e=1),_t(t,e)},e.className="elu",e}(li);t.serialization.registerClass(ci);var hi=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.apply=function(e){return(0,t.selu)(e)},r.className="selu",r}(li);t.serialization.registerClass(hi);var pi=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.apply=function(e){return(0,t.relu)(e)},r.className="relu",r}(li);t.serialization.registerClass(pi);var fi=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.apply=function(e){return(0,t.tidy)(function(){return(0,t.minimum)(6,(0,t.relu)(e))})},r.className="relu6",r}(li);t.serialization.registerClass(fi);var di=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.apply=function(t){return t},e.className="linear",e}(li);t.serialization.registerClass(di);var gi=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.apply=function(e){return(0,t.sigmoid)(e)},r.className="sigmoid",r}(li);t.serialization.registerClass(gi);var mi=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.apply=function(t){return Pt(t)},e.className="hardSigmoid",e}(li);t.serialization.registerClass(mi);var yi=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.apply=function(e){return(0,t.softplus)(e)},r.className="softplus",r}(li);t.serialization.registerClass(yi);var vi=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.apply=function(t){return Mt(t)},e.className="softsign",e}(li);t.serialization.registerClass(vi);var bi=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.apply=function(e){return(0,t.tanh)(e)},r.className="tanh",r}(li);t.serialization.registerClass(bi);var wi=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.apply=function(e,n){return void 0===n&&(n=-1),(0,t.softmax)(e,n)},r.className="softmax",r}(li);t.serialization.registerClass(wi);var zi=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.apply=function(e,n){return void 0===n&&(n=-1),(0,t.logSoftmax)(e,n)},r.className="logSoftmax",r}(li);function ki(t){return t.getClassName()}function Si(e,n){return void 0===n&&(n={}),C(e,t.serialization.SerializationMap.getMap().classNameMap,n,"activation")}function Ni(t){var e;return null==t?Si(e={className:"linear",config:{}}):"string"==typeof t?((e={}).className=t,e.config={},Si(e)):t instanceof li?t:Si(t)}function Ci(t){if(null!=t&&"object"!=typeof t)throw new Error("Argument to L1L2 regularizer's constructor is expected to be an 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n=0,r=this.sharedAxes;n<r.length;n++)e[(a=r[n])-1]=1;this.alpha=this.addWeight("alpha",e,"float32",this.alphaInitializer,this.alphaRegularizer,!0,this.alphaConstraint);var i={};if(null!=this.sharedAxes)for(var a=1;a<t.length;++a)i[a]=t[a];this.inputSpec=[new Ue({ndim:t.length,axes:i})],this.built=!0},r.prototype.call=function(e,n){return e=Re(e),(0,t.prelu)(e,this.alpha.read())},r.prototype.getConfig=function(){var t={alphaInitializer:ce(this.alphaInitializer),alphaRegularizer:Ei(this.alphaRegularizer),alphaConstraint:V(this.alphaConstraint),sharedAxes:this.sharedAxes},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="PReLU",r}(Ze);t.serialization.registerClass(_i);var Mi=function(e){function r(t){var n=e.call(this,null==t?{}:t)||this;if(n.DEFAULT_ALPHA=1,null==t&&(t={}),null!=t.alpha&&t.alpha!==n.DEFAULT_ALPHA)throw new p("Non-default alpha value ("+t.alpha+") is not supported by the ELU layer yet.");return n.alpha=null==t.alpha?n.DEFAULT_ALPHA:t.alpha,n}return n(r,e),r.prototype.call=function(e,n){var r=Re(e);return(0,t.elu)(r)},r.prototype.computeOutputShape=function(t){return t},r.prototype.getConfig=function(){var t={alpha:this.alpha},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="ELU",r}(Ze);t.serialization.registerClass(Mi);var Bi=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_THETA=1,null==e&&(e={}),n.theta=null==e.theta?n.DEFAULT_THETA:e.theta,n}return n(e,t),e.prototype.call=function(t,e){var n=Re(t);return n.mul(bt(n.greater(this.theta),"float32"))},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={theta:this.theta},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="ThresholdedReLU",e}(Ze);t.serialization.registerClass(Bi);var Pi=function(t){function e(e){var n=t.call(this,null==e?{}:e)||this;return n.DEFAULT_AXIS=1,null==e&&(e={}),n.softmax=(new wi).apply,n.axis=null==e.axis?n.DEFAULT_AXIS:e.axis,n}return n(e,t),e.prototype.call=function(t,e){var n=Re(t);return this.softmax(n,this.axis)},e.prototype.computeOutputShape=function(t){return t},e.prototype.getConfig=function(){var e={axis:this.axis},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e.className="Softmax",e}(Ze);function ji(t,e,n){if("number"==typeof t)return g(t,e);if(t.length!==e)throw new h("The "+n+" argument must be an integer or tuple of "+e+" integers. Received: "+t.length+" elements.");for(var r=0;r<e;++r){var i=t[r];if(!ft(i))throw new h("The "+n+" argument must be an integer or tuple of "+e+" integers. 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instead");if(null!=r&&1!==r.shape.length)throw new h("The bias for a conv1dWithBias operation should be 1, but is "+n.shape.length+" instead");if("channelsFirst"===s&&(e=(0,t.transpose)(e,[0,2,1])),"causal"===a)throw new p("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");var l=(0,t.conv1d)(e,n,i,"same"===a?"same":"valid","NWC",o);return null!=r&&(l=Ft(l,r)),l})}function Hi(e,n,r,i,a,s,o,l){return void 0===i&&(i=[1,1]),void 0===a&&(a="valid"),void 0===l&&(l=null),(0,t.tidy)(function(){if(null==s&&(s=u()),nt(s),3!==e.rank&&4!==e.rank)throw new h("conv2dWithBiasActivation expects input to be of rank 3 or 4, but received "+e.rank+".");if(3!==n.rank&&4!==n.rank)throw new h("conv2dWithBiasActivation expects kernel to be of rank 3 or 4, but received "+e.rank+".");var c=Vi(e,s);if("causal"===a)throw new p("The support for CAUSAL padding mode in conv1dWithBias is not implemented yet.");return c=t.fused.conv2d({x:c,filter:n,strides:i,pad:"same"===a?"same":"valid",dilations:o,dataFormat:"NHWC",bias:r,activation:l}),"channelsFirst"===s&&(c=(0,t.transpose)(c,[0,3,1,2])),c})}function Zi(e,n,r,i,a,s,o){return void 0===i&&(i=[1,1,1]),void 0===a&&(a="valid"),(0,t.tidy)(function(){if(null==s&&(s=u()),nt(s),4!==e.rank&&5!==e.rank)throw new h("conv3dWithBias expects input to be of rank 4 or 5, but received "+e.rank+".");if(4!==n.rank&&5!==n.rank)throw new h("conv3dWithBias expects kernel to be of rank 4 or 5, but received "+e.rank+".");var l=qi(e,s);if("causal"===a)throw new p("The support for CAUSAL padding mode in conv3dWithBias is not implemented yet.");return l=(0,t.conv3d)(l,n,i,"same"===a?"same":"valid","NDHWC",o),null!=r&&(l=Ft(l,r)),"channelsFirst"===s&&(l=(0,t.transpose)(l,[0,4,1,2,3])),l})}t.serialization.registerClass(Pi);var Ki=function(t){function e(n,r){var i=t.call(this,r)||this;if(i.bias=null,i.DEFAULT_KERNEL_INITIALIZER="glorotNormal",i.DEFAULT_BIAS_INITIALIZER="zeros",e.verifyArgs(r),i.rank=n,O(i.rank,"rank"),1!==i.rank&&2!==i.rank&&3!==i.rank)throw new p("Convolution layer for rank other than 1, 2, or 3 ("+i.rank+") is not implemented yet.");if(i.kernelSize=ji(r.kernelSize,n,"kernelSize"),i.strides=ji(null==r.strides?1:r.strides,n,"strides"),i.padding=null==r.padding?"valid":r.padding,rt(i.padding),i.dataFormat=null==r.dataFormat?"channelsLast":r.dataFormat,nt(i.dataFormat),i.activation=Ni(r.activation),i.useBias=null==r.useBias||r.useBias,i.biasInitializer=he(r.biasInitializer||i.DEFAULT_BIAS_INITIALIZER),i.biasConstraint=J(r.biasConstraint),i.biasRegularizer=Di(r.biasRegularizer),i.activityRegularizer=Di(r.activityRegularizer),i.dilationRate=ji(null==r.dilationRate?1:r.dilationRate,n,"dilationRate"),1===i.rank&&Array.isArray(i.dilationRate)&&1!==i.dilationRate.length)throw new h("dilationRate must be a number or an array of a single number for 1D convolution, but received "+JSON.stringify(i.dilationRate));if(2===i.rank){if("number"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate];else if(2!==i.dilationRate.length)throw new h("dilationRate must be a number or array of two numbers for 2D convolution, but received "+JSON.stringify(i.dilationRate))}else if(3===i.rank)if("number"==typeof i.dilationRate)i.dilationRate=[i.dilationRate,i.dilationRate,i.dilationRate];else if(3!==i.dilationRate.length)throw new h("dilationRate must be a number or array of three numbers for 3D convolution, but received "+JSON.stringify(i.dilationRate));return i}return n(e,t),e.verifyArgs=function(t){if(m("kernelSize"in t,"required key 'kernelSize' not in config"),"number"!=typeof t.kernelSize&&!E(t.kernelSize,"number",1,3))throw new h("BaseConv expects config.kernelSize to be number or number[] with length 1, 2, or 3, but received "+JSON.stringify(t.kernelSize)+".")},e.prototype.getConfig=function(){var e={kernelSize:this.kernelSize,strides:this.strides,padding:this.padding,dataFormat:this.dataFormat,dilationRate:this.dilationRate,activation:ki(this.activation),useBias:this.useBias,biasInitializer:ce(this.biasInitializer),biasRegularizer:Ei(this.biasRegularizer),activityRegularizer:Ei(this.activityRegularizer),biasConstraint:V(this.biasConstraint)},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Ze),Gi=function(e){function r(t,n){var i=e.call(this,t,n)||this;return i.kernel=null,r.verifyArgs(n),i.filters=n.filters,O(i.filters,"filters"),i.kernelInitializer=he(n.kernelInitializer||i.DEFAULT_KERNEL_INITIALIZER),i.kernelConstraint=J(n.kernelConstraint),i.kernelRegularizer=Di(n.kernelRegularizer),i}return n(r,e),r.prototype.build=function(t){var e;t=Fe(t);var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new h("The channel dimension of the input should be defined. Found "+t[n]);var r=t[n],i=this.kernelSize.concat([r,this.filters]);this.kernel=this.addWeight("kernel",i,null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[{ndim:this.rank+2,axes:(e={},e[n]=r,e)}],this.built=!0},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var t;e=Re(e);var n=null==r.bias?null:r.bias.read(),i=F(r.activation.getClassName());if(null!=i&&2===r.rank)t=Hi(e,r.kernel.read(),n,r.strides,r.padding,r.dataFormat,r.dilationRate,i);else{if(1===r.rank)t=Ji(e,r.kernel.read(),n,r.strides[0],r.padding,r.dataFormat,r.dilationRate[0]);else if(2===r.rank)t=Hi(e,r.kernel.read(),n,r.strides,r.padding,r.dataFormat,r.dilationRate);else{if(3!==r.rank)throw new p("convolutions greater than 3D are not implemented yet.");t=Zi(e,r.kernel.read(),n,r.strides,r.padding,r.dataFormat,r.dilationRate)}null!=r.activation&&(t=r.activation.apply(t))}return t})},r.prototype.computeOutputShape=function(t){t=Fe(t);for(var e=[],n="channelsLast"===this.dataFormat?t.slice(1,t.length-1):t.slice(2),r=0;r<n.length;++r){var i=Wi(n[r],this.kernelSize[r],this.padding,this.strides[r],"number"==typeof this.dilationRate?this.dilationRate:this.dilationRate[r]);e.push(i)}var a=[t[0]];return"channelsLast"===this.dataFormat?(a=a.concat(e)).push(this.filters):(a.push(this.filters),a=a.concat(e)),a},r.prototype.getConfig=function(){var t={filters:this.filters,kernelInitializer:ce(this.kernelInitializer),kernelRegularizer:Ei(this.kernelRegularizer),kernelConstraint:V(this.kernelConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.verifyArgs=function(t){if(!("filters"in t)||"number"!=typeof t.filters||t.filters<1)throw new h("Convolution layer expected config.filters to be a 'number' > 0 but got "+JSON.stringify(t.filters))},r}(Ki),Yi=function(t){function e(n){var r=t.call(this,2,n)||this;return e.verifyArgs(n),r}return n(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!E(t.kernelSize,"number",1,2))throw new h("Conv2D expects config.kernelSize to be number or number[] with length 1 or 2, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv2D",e}(Gi);t.serialization.registerClass(Yi);var Xi=function(t){function e(n){var r=t.call(this,3,n)||this;return e.verifyArgs(n),r}return n(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&(!Array.isArray(t.kernelSize)||1!==t.kernelSize.length&&3!==t.kernelSize.length))throw new h("Conv3D expects config.kernelSize to be number or [number, number, number], but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv3D",e}(Gi);t.serialization.registerClass(Xi);var $i=function(e){function r(t){var n=e.call(this,t)||this;if(n.inputSpec=[new Ue({ndim:4})],"same"!==n.padding&&"valid"!==n.padding)throw new h("Conv2DTranspose currently supports only padding modes 'same' and 'valid', but received padding mode "+n.padding);return n}return n(r,e),r.prototype.build=function(t){var e;if(4!==(t=Fe(t)).length)throw new h("Input should have rank 4; Received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n])throw new h("The channel dimension of the inputs should be defined. Found `None`.");var r=t[n],i=this.kernelSize.concat([this.filters,r]);this.kernel=this.addWeight("kernel",i,"float32",this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint)),this.inputSpec=[new Ue({ndim:4,axes:(e={},e[n]=r,e)})],this.built=!0},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var n=Re(e);if(4!==n.shape.length)throw new h("Conv2DTranspose.call() expects input tensor to be rank-4, but received a tensor of rank-"+n.shape.length);var i,a,s=n.shape,o=s[0];"channelsFirst"===r.dataFormat?(i=2,a=3):(i=1,a=2);var u=s[i],l=s[a],c=r.kernelSize[0],p=r.kernelSize[1],f=r.strides[0],d=r.strides[1],g=[o,Ui(u,f,c,r.padding),Ui(l,d,p,r.padding),r.filters];"channelsLast"!==r.dataFormat&&(n=(0,t.transpose)(n,[0,2,3,1]));var m=(0,t.conv2dTranspose)(n,r.kernel.read(),g,r.strides,r.padding);return"channelsLast"!==r.dataFormat&&(m=(0,t.transpose)(m,[0,3,1,2])),null!=r.bias&&(m=Ft(m,r.bias.read(),r.dataFormat)),null!=r.activation&&(m=r.activation.apply(m)),m})},r.prototype.computeOutputShape=function(t){var e,n,r,i=(t=Fe(t)).slice();"channelsFirst"===this.dataFormat?(e=1,n=2,r=3):(e=3,n=1,r=2);var a=this.kernelSize[0],s=this.kernelSize[1],o=this.strides[0],u=this.strides[1];return i[e]=this.filters,i[n]=Ui(i[n],o,a,this.padding),i[r]=Ui(i[r],u,s,this.padding),i},r.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.dilationRate,t},r.className="Conv2DTranspose",r}(Yi);t.serialization.registerClass($i);var Qi=function(e){function r(t,n){var r=e.call(this,t,n)||this;if(r.DEFAULT_DEPTHWISE_INITIALIZER="glorotUniform",r.DEFAULT_POINTWISE_INITIALIZER="glorotUniform",r.depthwiseKernel=null,r.pointwiseKernel=null,null==n.filters)throw new h("The `filters` configuration field is required by SeparableConv, but is unspecified.");if(null!=n.kernelInitializer||null!=n.kernelRegularizer||null!=n.kernelConstraint)throw new h("Fields kernelInitializer, kernelRegularizer and kernelConstraint are invalid for SeparableConv2D. Use depthwiseInitializer, depthwiseRegularizer, depthwiseConstraint, pointwiseInitializer, pointwiseRegularizer and pointwiseConstraint instead.");if(null!=n.padding&&"same"!==n.padding&&"valid"!==n.padding)throw new h("SeparableConv"+r.rank+"D supports only padding modes: 'same' and 'valid', but received "+JSON.stringify(n.padding));return r.depthMultiplier=null==n.depthMultiplier?1:n.depthMultiplier,r.depthwiseInitializer=he(n.depthwiseInitializer||r.DEFAULT_DEPTHWISE_INITIALIZER),r.depthwiseRegularizer=Di(n.depthwiseRegularizer),r.depthwiseConstraint=J(n.depthwiseConstraint),r.pointwiseInitializer=he(n.depthwiseInitializer||r.DEFAULT_POINTWISE_INITIALIZER),r.pointwiseRegularizer=Di(n.pointwiseRegularizer),r.pointwiseConstraint=J(n.pointwiseConstraint),r}return n(r,e),r.prototype.build=function(t){var e;if((t=Fe(t)).length<this.rank+2)throw new h("Inputs to SeparableConv"+this.rank+"D should have rank "+(this.rank+2)+", but received input shape: "+JSON.stringify(t));var n="channelsFirst"===this.dataFormat?1:t.length-1;if(null==t[n]||t[n]<0)throw new h("The channel dimension of the inputs should be defined, but found "+JSON.stringify(t[n]));for(var r=t[n],i=this.kernelSize.concat([r,this.depthMultiplier]),a=[],s=0;s<this.rank;++s)a.push(1);a.push(r*this.depthMultiplier,this.filters),this.depthwiseKernel=this.addWeight("depthwise_kernel",i,"float32",this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.pointwiseKernel=this.addWeight("pointwise_kernel",a,"float32",this.pointwiseInitializer,this.pointwiseRegularizer,!0,this.pointwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[this.filters],"float32",this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.inputSpec=[new Ue({ndim:this.rank+2,axes:(e={},e[n]=r,e)})],this.built=!0},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var n;if(e=Re(e),1===r.rank)throw new p("1D separable convolution is not implemented yet.");return 2===r.rank&&("channelsFirst"===r.dataFormat&&(e=(0,t.transpose)(e,[0,2,3,1])),n=(0,t.separableConv2d)(e,r.depthwiseKernel.read(),r.pointwiseKernel.read(),r.strides,r.padding,r.dilationRate,"NHWC")),r.useBias&&(n=Ft(n,r.bias.read(),r.dataFormat)),null!=r.activation&&(n=r.activation.apply(n)),"channelsFirst"===r.dataFormat&&(n=(0,t.transpose)(n,[0,3,1,2])),n})},r.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return delete t.rank,delete t.kernelInitializer,delete t.kernelRegularizer,delete t.kernelConstraint,t.depthwiseInitializer=ce(this.depthwiseInitializer),t.pointwiseInitializer=ce(this.pointwiseInitializer),t.depthwiseRegularizer=Ei(this.depthwiseRegularizer),t.pointwiseRegularizer=Ei(this.pointwiseRegularizer),t.depthwiseConstraint=V(this.depthwiseConstraint),t.pointwiseConstraint=V(this.pointwiseConstraint),t},r.className="SeparableConv",r}(Gi),ta=function(t){function e(e){return t.call(this,2,e)||this}return n(e,t),e.className="SeparableConv2D",e}(Qi);t.serialization.registerClass(ta);var ea=function(t){function e(n){var r=t.call(this,1,n)||this;return e.verifyArgs(n),r.inputSpec=[{ndim:3}],r}return n(e,t),e.prototype.getConfig=function(){var e=t.prototype.getConfig.call(this);return delete e.rank,delete e.dataFormat,e},e.verifyArgs=function(t){if("number"!=typeof t.kernelSize&&!E(t.kernelSize,"number",1,1))throw new h("Conv1D expects config.kernelSize to be number or number[] with length 1, but received "+JSON.stringify(t.kernelSize)+".")},e.className="Conv1D",e}(Gi);t.serialization.registerClass(ea);var na=function(e){function r(t){var n=e.call(this,t)||this;return"number"==typeof t.cropping?n.cropping=[[t.cropping,t.cropping],[t.cropping,t.cropping]]:"number"==typeof t.cropping[0]?n.cropping=[[t.cropping[0],t.cropping[0]],[t.cropping[1],t.cropping[1]]]:n.cropping=t.cropping,n.dataFormat=void 0===t.dataFormat?"channelsLast":t.dataFormat,n.inputSpec=[{ndim:4}],n}return n(r,e),r.prototype.computeOutputShape=function(t){return"channelsFirst"===this.dataFormat?[t[0],t[1],t[2]-this.cropping[0][0]-this.cropping[0][1],t[3]-this.cropping[1][0]-this.cropping[1][1]]:[t[0],t[1]-this.cropping[0][0]-this.cropping[0][1],t[2]-this.cropping[1][0]-this.cropping[1][1],t[3]]},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){return e=Re(e),"channelsLast"===r.dataFormat?At(At(e,r.cropping[0][0],e.shape[1]-r.cropping[0][0]-r.cropping[0][1],2),r.cropping[1][0],e.shape[2]-r.cropping[1][1]-r.cropping[1][0],3):At(At(e,r.cropping[0][0],e.shape[2]-r.cropping[0][0]-r.cropping[0][1],3),r.cropping[1][0],e.shape[3]-r.cropping[1][1]-r.cropping[1][0],4)})},r.prototype.getConfig=function(){var t={cropping:this.cropping,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="Cropping2D",r}(Ze);t.serialization.registerClass(na);var ra=function(e){function r(t){var n=e.call(this,t)||this;return n.DEFAULT_SIZE=[2,2],n.inputSpec=[{ndim:4}],n.size=null==t.size?n.DEFAULT_SIZE:t.size,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,n}return n(r,e),r.prototype.computeOutputShape=function(t){if("channelsFirst"===this.dataFormat){var e=null==t[2]?null:this.size[0]*t[2],n=null==t[3]?null:this.size[1]*t[3];return[t[0],t[1],e,n]}return e=null==t[1]?null:this.size[0]*t[1],n=null==t[2]?null:this.size[1]*t[2],[t[0],e,n,t[3]]},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var n=Re(e),i=n.shape;if("channelsFirst"===r.dataFormat){n=(0,t.transpose)(n,[0,2,3,1]);var a=r.size[0]*i[2],s=r.size[1]*i[3],o=n.resizeNearestNeighbor([a,s]);return(0,t.transpose)(o,[0,3,1,2])}return a=r.size[0]*i[1],s=r.size[1]*i[2],n.resizeNearestNeighbor([a,s])})},r.prototype.getConfig=function(){var t={size:this.size,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="UpSampling2D",r}(Ze);function ia(e,n,r,i,a,s){return void 0===r&&(r=[1,1]),void 0===i&&(i="valid"),(0,t.tidy)(function(){null==a&&(a=u()),nt(a);var o=Vi(e,a);if(4!==e.rank)throw new h("Input for depthwiseConv2d is required to be 4-D, but is instead "+e.rank+"-D");if(4!==n.rank)throw new h("depthwiseKernel is required to be 4-D, but is instead "+n.rank+"-D");return o=(0,t.depthwiseConv2d)(o,n,r,"same"===i?"same":"valid","NHWC",s),"channelsFirst"===a&&(o=(0,t.transpose)(o,[0,3,1,2])),o})}t.serialization.registerClass(ra);var aa=function(e){function r(t){var n=e.call(this,2,t)||this;return n.depthwiseKernel=null,n.depthMultiplier=null==t.depthMultiplier?1:t.depthMultiplier,n.depthwiseInitializer=he(t.depthwiseInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.depthwiseConstraint=J(t.depthwiseConstraint),n.depthwiseRegularizer=Di(t.depthwiseRegularizer),n}return n(r,e),r.prototype.build=function(t){if((t=Fe(t)).length<4)throw new h("Inputs to DepthwiseConv2D should have rank 4. Received input shape: "+JSON.stringify(t)+".");var e="channelsFirst"===this.dataFormat?1:3;if(null==t[e]||t[e]<0)throw new h("The channel dimension of the inputs to DepthwiseConv2D should be defined, but is not ("+t[e]+").");var n=t[e],r=[this.kernelSize[0],this.kernelSize[1],n,this.depthMultiplier];this.depthwiseKernel=this.addWeight("depthwise_kernel",r,null,this.depthwiseInitializer,this.depthwiseRegularizer,!0,this.depthwiseConstraint),this.useBias?this.bias=this.addWeight("bias",[n*this.depthMultiplier],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var t=ia(e=Re(e),r.depthwiseKernel.read(),r.strides,r.padding,r.dataFormat,null);return r.useBias&&(t=Ft(t,r.bias.read(),r.dataFormat)),null!=r.activation&&(t=r.activation.apply(t)),t})},r.prototype.computeOutputShape=function(t){t=Fe(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[1]*this.depthMultiplier:t[3]*this.depthMultiplier,i=Wi(e,this.kernelSize[0],this.padding,this.strides[0]),a=Wi(n,this.kernelSize[1],this.padding,this.strides[1]);return"channelsFirst"===this.dataFormat?[t[0],r,i,a]:[t[0],i,a,r]},r.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this);return t.depthMultiplier=this.depthMultiplier,t.depthwiseInitializer=ce(this.depthwiseInitializer),t.depthwiseRegularizer=Ei(this.depthwiseRegularizer),t.depthwiseConstraint=V(this.depthwiseRegularizer),t},r.className="DepthwiseConv2D",r}(Ki);t.serialization.registerClass(aa);var sa=function(e){function r(t){var n=e.call(this,t)||this;return n.rate=Math.max(Math.min(t.rate,1),0),n.noiseShape=t.noiseShape,n.seed=t.seed,n.supportsMasking=!0,n}return n(r,e),r.prototype.getNoiseShape=function(t){if(null==this.noiseShape)return this.noiseShape;for(var e=t.shape,n=[],r=0;r<this.noiseShape.length;++r)n.push(null==this.noiseShape[r]?e[r]:this.noiseShape[r]);return n},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){r.invokeCallHook(e,n);var t=Re(e);if(0<r.rate&&r.rate<1){var i=null!=n.training&&n.training,a=r.getNoiseShape(t);return jt(function(){return Bt(t,r.rate,a,r.seed)},function(){return t},i)}return e})},r.prototype.getConfig=function(){var t={rate:this.rate,noiseShape:this.noiseShape,seed:this.seed},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.prototype.dispose=function(){return e.prototype.dispose.call(this)},r.className="Dropout",r}(Ze);t.serialization.registerClass(sa);var oa=function(e){function r(t){var n=e.call(this,t)||this;if(n.activation=null,n.useBias=!0,n.kernel=null,n.bias=null,n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_BIAS_INITIALIZER="zeros",null==t.batchInputShape&&null==t.inputShape&&null!=t.inputDim){var r=null;null!=t.batchSize&&(r=t.batchSize),n.batchInputShape=[r,t.inputDim]}return n.units=t.units,O(n.units,"units"),n.activation=Ni(t.activation),null!=t.useBias&&(n.useBias=t.useBias),n.kernelInitializer=he(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.biasInitializer=he(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelConstraint=J(t.kernelConstraint),n.biasConstraint=J(t.biasConstraint),n.kernelRegularizer=Di(t.kernelRegularizer),n.biasRegularizer=Di(t.biasRegularizer),n.activityRegularizer=Di(t.activityRegularizer),n.supportsMasking=!0,n.inputSpec=[{minNDim:2}],n}return n(r,e),r.prototype.build=function(t){var e,n=(t=Fe(t))[t.length-1];null==this.kernel&&(this.kernel=this.addWeight("kernel",[n,this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.useBias&&(this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint))),this.inputSpec=[{minNDim:2,axes:(e={},e[-1]=n,e)}],this.built=!0},r.prototype.computeOutputShape=function(t){var e=(t=Fe(t)).slice();return e[e.length-1]=this.units,e},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){r.invokeCallHook(e,n);var t,i=Re(e),a=F(r.activation.getClassName());return null!=a?t=Et(i,r.kernel.read(),a,r.bias?r.bias.read():null):(t=Et(i,r.kernel.read()),null!=r.bias&&(t=Ft(t,r.bias.read())),null!=r.activation&&(t=r.activation.apply(t))),t})},r.prototype.getConfig=function(){var t={units:this.units,activation:ki(this.activation),useBias:this.useBias,kernelInitializer:ce(this.kernelInitializer),biasInitializer:ce(this.biasInitializer),kernelRegularizer:Ei(this.kernelRegularizer),biasRegularizer:Ei(this.biasRegularizer),activityRegularizer:Ei(this.activityRegularizer),kernelConstraint:V(this.kernelConstraint),biasConstraint:V(this.biasConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="Dense",r}(Ze);t.serialization.registerClass(oa);var ua=function(e){function r(t){var n=e.call(this,t||{})||this;return n.inputSpec=[{minNDim:3}],n}return n(r,e),r.prototype.computeOutputShape=function(t){for(var e=0,n=(t=Fe(t)).slice(1);e<n.length;e++)if(null==n[e])throw new h('The shape of the input to "Flatten" is not fully defined (got '+t.slice(1)+'). Make sure to pass a complete "input_shape" or "batch_input_shape" argument to the first layer in your model.');return[t[0],dt(t,1)]},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){return r.invokeCallHook(e,n),St(Re(e))})},r.className="Flatten",r}(Ze);t.serialization.registerClass(ua);var la=function(e){function r(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.activation=Ni(t.activation),n}return n(r,e),r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){r.invokeCallHook(e,n);var t=Re(e);return r.activation.apply(t)})},r.prototype.getConfig=function(){var t={activation:ki(this.activation)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="Activation",r}(Ze);t.serialization.registerClass(la);var ca=function(e){function r(t){var n=e.call(this,t)||this;return n.n=t.n,n.inputSpec=[{ndim:2}],n}return n(r,e),r.prototype.computeOutputShape=function(t){return[t[0],this.n,t[1]]},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){return zt(e=Re(e),r.n)})},r.prototype.getConfig=function(){var t={n:this.n},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="RepeatVector",r}(Ze);t.serialization.registerClass(ca);var ha=function(e){function r(t){var n=e.call(this,t)||this;n.targetShape=t.targetShape;for(var r=0;r<n.targetShape.length;++r)n.isUnknown(n.targetShape[r])&&(n.targetShape[r]=null);return n}return n(r,e),r.prototype.isUnknown=function(t){return t<0||null==t},r.prototype.fixUnknownDimension=function(t,e){for(var n="Total size of new array must be unchanged.",r=e.slice(),i=1,a=null,s=0;s<r.length;++s){var o=r[s];if(this.isUnknown(o)){if(null!==a)throw new h("Can only specifiy one unknown dimension.");a=s}else i*=o}var u=dt(t);if(null!==a){if(0===i||u%i!=0)throw new h(n);r[a]=u/i}else if(u!==i)throw new h(n);return r},r.prototype.computeOutputShape=function(t){for(var e=!1,n=0;n<t.length;++n)if(this.isUnknown(t[n])){e=!0;break}return e?t.slice(0,1).concat(this.targetShape):t.slice(0,1).concat(this.fixUnknownDimension(t.slice(1),this.targetShape))},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){r.invokeCallHook(e,n);var t=Re(e),i=t.shape,a=i.slice(0,1).concat(r.fixUnknownDimension(i.slice(1),r.targetShape));return t.reshape(a)})},r.prototype.getConfig=function(){var t={targetShape:this.targetShape},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="Reshape",r}(Ze);t.serialization.registerClass(ha);var pa=function(e){function r(n){var r=e.call(this,n)||this;if(null==n.dims)throw new Error("Required configuration field `dims` is missing during Permute constructor call.");if(!Array.isArray(n.dims))throw new Error("Permute constructor requires `dims` to be an Array, but received "+n.dims+" instead.");var i=vt(1,n.dims.length+1);if(!t.util.arraysEqual(n.dims.slice().sort(),i))throw new Error("Invalid permutation `dims`: "+JSON.stringify(n.dims)+" `dims` must contain consecutive integers starting from 1.");return r.dims=n.dims,r.dimsIncludingBatch=[0].concat(r.dims),r.inputSpec=[new Ue({ndim:r.dims.length+1})],r}return n(r,e),r.prototype.computeOutputShape=function(t){var e=(t=Fe(t)).slice();return this.dims.forEach(function(n,r){e[r+1]=t[n]}),e},r.prototype.call=function(e,n){return(0,t.transpose)(Re(e),this.dimsIncludingBatch)},r.prototype.getConfig=function(){var t={dims:this.dims},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="Permute",r}(Ze);t.serialization.registerClass(pa);var fa=function(e){function r(t){var n=e.call(this,null==t?{}:t)||this;return n.supportsMasking=!0,n.maskValue=null!=t?null==t.maskValue?0:t.maskValue:0,n}return n(r,e),r.prototype.computeOutputShape=function(t){return t},r.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this),n={maskValue:this.maskValue};return Object.assign(n,t),n},r.prototype.computeMask=function(e,n){var r=Re(e);return(0,t.any)((0,t.notEqual)(r,this.maskValue),-1)},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){r.invokeCallHook(e,n);var i=Re(e),a=(0,t.any)((0,t.notEqual)(i,r.maskValue),-1,!0);return i.mul(a.asType(i.dtype))})},r.className="Masking",r}(Ze);t.serialization.registerClass(fa);var da=function(e){function r(t){var n=e.call(this,t)||this;if(n.embeddings=null,n.DEFAULT_EMBEDDINGS_INITIALIZER="randomUniform",null==t.batchInputShape&&null==t.inputShape){var r=null;null!=t.batchSize&&(r=t.batchSize),null==t.inputLength?n.batchInputShape=[r,null]:n.batchInputShape=[r].concat(b(t.inputLength))}return n.inputDim=t.inputDim,O(n.inputDim,"inputDim"),n.outputDim=t.outputDim,O(n.outputDim,"outputDim"),n.embeddingsInitializer=he(t.embeddingsInitializer||n.DEFAULT_EMBEDDINGS_INITIALIZER),n.embeddingsRegularizer=Di(t.embeddingsRegularizer),n.activityRegularizer=Di(t.activityRegularizer),n.embeddingsConstraint=J(t.embeddingsConstraint),n.maskZero=t.maskZero,n.supportsMasking=t.maskZero,n.inputLength=t.inputLength,n}return n(r,e),r.prototype.build=function(t){this.embeddings=this.addWeight("embeddings",[this.inputDim,this.outputDim],this.dtype,this.embeddingsInitializer,this.embeddingsRegularizer,!0,this.embeddingsConstraint),this.built=!0},r.prototype.warnOnIncompatibleInputShape=function(t){},r.prototype.computeMask=function(e,n){var r=this;return(0,t.tidy)(function(){return r.maskZero?(e=Re(e),(0,t.notEqual)(e,(0,t.zerosLike)(e))):null})},r.prototype.computeOutputShape=function(t){if(t=Fe(t),null==this.inputLength)return t.concat([this.outputDim]);var e=b(this.inputLength);if(e.length!==t.length-1)throw new h('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);for(var n=0,r=0;r<e.length;++r){var i=e[r],a=t[r+1];if(null!=i&&null!=a&&i!==a)throw new h('"inputLength" is '+this.inputLength+", but received input shape has shape "+t);null==i&&(e[n]=a),n++}return[t[0]].concat(e,[this.outputDim])},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){r.invokeCallHook(e,n);var t=Re(e);return"int32"!==t.dtype&&(t=bt(t,"int32")),Ot(r.embeddings.read(),t.as1D()).reshape(Fe(r.computeOutputShape(t.shape)))})},r.prototype.getConfig=function(){var t={inputDim:this.inputDim,outputDim:this.outputDim,embeddingsInitializer:ce(this.embeddingsInitializer),embeddingsRegularizer:Ei(this.embeddingsRegularizer),activityRegularizer:Ei(this.activityRegularizer),embeddingsConstraint:V(this.embeddingsConstraint),maskZero:this.maskZero,inputLength:this.inputLength},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="Embedding",r}(Ze);t.serialization.registerClass(da);var ga=function(e){function r(t){var n=e.call(this,t||{})||this;return n.supportsMasking=!0,n}return n(r,e),r.prototype.mergeFunction=function(t){throw new p},r.prototype.computeElementwiseOpOutputShape=function(t,e){if(null==t||null==e)return null;if(t.length<e.length)return this.computeElementwiseOpOutputShape(e,t);if(0===e.length)return t;for(var n=t.slice(0,t.length-e.length),r=0;r<e.length;++r){var i=t[t.length-e.length+r],a=e[r];if(null==i||null==a||i<0||a<0)n.push(null);else if(1===i)n.push(a);else if(1===a)n.push(i);else{if(i!==a)throw new h("Operands could not be broadcast together with shapes "+JSON.stringify(t)+" "+JSON.stringify(e));n.push(i)}}return n},r.prototype.build=function(t){if(Array.isArray(t)&&!Array.isArray(t[0])&&(t=[Fe(t)]),(t=t).length<2)throw new h("A merge layer should be called on an Array of at least 2 inputs. Got "+t.length+" input(s).");for(var e=[],n=0,r=t;n<r.length;n++)null!=(s=r[n])&&null!==s[0]&&e.push(s[0]);if((e=x(e)).length>1)throw new h("Can not merge tensors with different batch sizes. 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a=[],s=0;s<e.length;++s)null==n[s]?a.push((0,t.onesLike)(e[s]).asType("bool")):n[s].rank<e[s].rank?a.push((0,t.expandDims)(n[s],-1)):a.push(n[s]);var o=(0,t.concat)(a,r.axis);return(0,t.all)(o,-1,!1)})},r.prototype.getConfig=function(){var t={axis:this.axis},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="Concatenate",r}(ga);function ka(t,e){for(;t<0;)t+=e;return t}function Sa(e,n,r){if(e.shape.length>3||n.shape.length>3)throw new p("batchDot is not implemented for tensors of 4D or higher rank yet");if(t.util.assert(e.shape.length>=2,function(){return"batchDot requires the rank of x to be >= 2, but got "+e.shape.length}),t.util.assert(e.shape.length>=2,function(){return"batchDot requires the rank of y to be >= 2, but got "+n.shape.length}),"number"==typeof r&&(r=[r,r]),"complex64"===e.dtype||"complex64"===n.dtype)throw new p("batchDot is not implemented for complex64-type Tensors yet.");var i=e.shape.length,a=n.shape.length;null==r&&(r=[i-1,a-2]);var s=r;return(0,t.tidy)(function(){var t,r;if(i>a){t=i-a;for(var o=[],u=0;u<t;++u)o.push(1);n=n.reshape(n.shape.concat(o))}else if(a>i){for(t=a-i,o=[],u=0;u<t;++u)o.push(1);e=e.reshape(e.shape.concat(o))}else t=0;if(2===e.shape.length&&2===n.shape.length)r=s[0]===s[1]?e.mulStrict(n).sum(s[0]):e.transpose([1,0]).mulStrict(n).sum(s[1]);else{var l=s[0]!==e.shape.length-1,c=s[1]===n.shape.length-1;r=e.matMul(n,l,c)}if(t>0){var h,p=[];for(u=h=i>a?i+a-3:i-1;u<h+t;++u)p.push(u);r=r.squeeze(p)}return 1===r.shape.length&&(r=r.expandDims(1)),r})}t.serialization.registerClass(za);var Na=function(e){function r(t){var n=e.call(this,t)||this;return n.axes=t.axes,n.normalize=null!=t.normalize&&t.normalize,n.supportsMasking=!0,n.reshapeRequired=!1,n}return n(r,e),r.prototype.build=function(e){t.util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var n=e[0],r=e[1];if(n.length>3||r.length>3)throw new p("Dot layer does not support tensors of 4D or higher rank yet.");var i=this.interpretAxes(n,r);if(n[i[0]]!==r[i[1]])throw new h("Dimension incompatibility: "+n[i[0]]+" !== "+r[i[1]])},r.prototype.mergeFunction=function(t){if(2!==t.length)throw new h("A `Dot` layer must be called on exactly 2 inputs, but received "+t.length+" input(s).");var e,n=t[0],r=t[1];return e=Array.isArray(this.axes)?this.axes.map(function(e,n){return ka(e,t[n].shape.length)}):[ka(this.axes,n.shape.length),ka(this.axes,r.shape.length)],this.normalize&&(n=fn(n,e[0]),r=fn(r,e[1])),Sa(n,r,e)},r.prototype.interpretAxes=function(t,e){return Array.isArray(this.axes)?this.axes:[ka(this.axes,t.length),ka(this.axes,e.length)]},r.prototype.computeOutputShape=function(e){t.util.assert(Array.isArray(e)&&2===e.length&&Array.isArray(e[0])&&Array.isArray(e[1]),function(){return"A `Dot` layer should be called on a list of exactly 2 inputs."});var n=e[0].slice(),r=e[1].slice();if(n.length>3||r.length>3)throw new p("Dot layer does not support tensors of 4D or higher rank yet.");var i=this.interpretAxes(n,r);n.splice(i[0],1),r.splice(i[1],1),r.splice(0,1);var a=n.concat(r);return 1===a.length&&a.push(1),a},r.prototype.computeMask=function(t,e){return null},r.prototype.getConfig=function(){var t={axes:this.axes,normalize:this.normalize},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="Dot",r}(ga);t.serialization.registerClass(Na);var Ca=function(e){function r(t){var n=e.call(this,t)||this;return n.supportsMasking=!0,n.stddev=t.stddev,n}return n(r,e),r.prototype.computeOutputShape=function(t){return t},r.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this),n={stddev:this.stddev};return Object.assign(n,t),n},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){r.invokeCallHook(e,n);var t=Re(e);return jt(function(){return Lt(t.shape,0,r.stddev).add(t)},function(){return 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t},r.prototype.getConfig=function(){var t=e.prototype.getConfig.call(this),n={rate:this.rate};return Object.assign(n,t),n},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){if(r.rate<1&&r.rate>0){var i=r._getNoiseShape(e);return jt(function(){var n=Re(e),a=-1.7580993408473766,s=(0,t.greaterEqual)((0,t.randomUniform)(i),r.rate);s=bt(s,"float32");var o=Math.pow((1-r.rate)*(1+r.rate*Math.pow(a,2)),-.5),u=-o*a*r.rate;return n.mul(s).add(s.add(-1).mul(a)).mul(o).add(u)},function(){return Re(e)},n.training||!1)}return e})},r.className="AlphaDropout",r}(Ze);function xa(e,n,r,i,a,s){var o;if(void 0===s&&(s=.001),2===e.rank)o=(0,t.batchNorm2d)(e,n,r,i,a,s);else if(3===e.rank)o=(0,t.batchNorm3d)(e,n,r,i,a,s);else{if(4!==e.rank)throw new p("batchNormalization is not implemented for array of rank "+e.rank+" yet");o=(0,t.batchNorm4d)(e,n,r,i,a,s)}return o}function Ta(e,n,r,i,a){return void 0===a&&(a=.001),(0,t.tidy)(function(){var s=(0,t.moments)(e,i),o=s.mean,u=s.variance;return[xa(e,o,u,r,n,a),o,u]})}function La(e,n,r,i,a){return void 0===a&&(a=.001),(0,t.tidy)(function(){for(var s=(0,t.moments)(e,i),o=s.mean,u=s.variance,l=[],c=0,h=vt(0,e.rank);c<h.length;c++){var p=h[c];-1!==i.indexOf(p)?l.push(1):l.push(e.shape[p])}var f=o.reshape(l),d=u.reshape(l),g=null==n?null:n.reshape(l),m=null==r?null:r.reshape(l);return[xa(e,f,d,m,g,a),o,u]})}function Ea(e,n,r,i,a){return void 0===a&&(a=.001),t.util.arraysEqual(i.slice().sort(),vt(0,e.rank-1))?Ta(e,n,r,i,a):La(e,n,r,i,a)}t.serialization.registerClass(Ia);var Oa=function(e){function r(t){var n=this;return null==t&&(t={}),(n=e.call(this,t)||this).supportsMasking=!0,n.axis=null==t.axis?-1:t.axis,n.momentum=null==t.momentum?.99:t.momentum,n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=he(t.betaInitializer||"zeros"),n.gammaInitializer=he(t.gammaInitializer||"ones"),n.movingMeanInitializer=he(t.movingMeanInitializer||"zeros"),n.movingVarianceInitializer=he(t.movingVarianceInitializer||"ones"),n.betaConstraint=J(t.betaConstraint),n.gammaConstraint=J(t.gammaConstraint),n.betaRegularizer=Di(t.betaRegularizer),n.gammaRegularizer=Di(t.gammaRegularizer),n}return n(r,e),r.prototype.build=function(t){var e;t=Fe(t);var n=this.axis>=0?this.axis:this.axis+t.length,r=t[n];if(null==r)throw new h("Axis "+n+" of input tensor should have a defined dimension but the layer received an input with shape "+JSON.stringify(t)+".");this.inputSpec=[new Ue({ndim:t.length,axes:(e={},e[n]=r,e)})];var i=[r];this.scale&&(this.gamma=this.addWeight("gamma",i,null,this.gammaInitializer,this.gammaRegularizer,!0,this.gammaConstraint)),this.center&&(this.beta=this.addWeight("beta",i,null,this.betaInitializer,this.betaRegularizer,!0,this.betaConstraint)),this.movingMean=this.addWeight("moving_mean",i,null,this.movingMeanInitializer,null,!1),this.movingVariance=this.addWeight("moving_variance",i,null,this.movingVarianceInitializer,null,!1),this.built=!0},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var i=null!=n.training&&n.training,a=Re(e),s=a.shape,o=s.length,u=vt(0,o),l=r.axis>=0?r.axis:r.axis+o;u.splice(l,1);var c=g(1,o);c[l]=s[l];var h=u.slice();h.sort();var p=!t.util.arraysEqual(h,vt(0,o).slice(0,o-1));if(!i)return function(){if(p){var t=r.movingMean.read().reshape(c),e=r.movingVariance.read().reshape(c),n=r.center?r.beta.read().reshape(c):null,i=r.scale?r.gamma.read().reshape(c):null;return xa(a,t,e,n,i,r.epsilon)}return xa(a,r.movingMean.read(),r.movingVariance.read(),null==r.beta?null:r.beta.read(),null==r.gamma?null:r.gamma.read(),r.epsilon)}();var f=Ea(a,r.gamma.read(),r.beta.read(),u,r.epsilon),d=f[0],m=f[1],y=f[2],v=function(e,n,r){(0,t.tidy)(function(){var t=1-r,i=e.read(),a=i.sub(n).mul(t);e.write(i.sub(a))})};return v(r.movingMean,m,r.momentum),v(r.movingVariance,y,r.momentum),d})},r.prototype.getConfig=function(){var t={axis:this.axis,momentum:this.momentum,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:ce(this.betaInitializer),gammaInitializer:ce(this.gammaInitializer),movingMeanInitializer:ce(this.movingMeanInitializer),movingVarianceInitializer:ce(this.movingVarianceInitializer),betaRegularizer:Ei(this.betaRegularizer),gammaRegularizer:Ei(this.gammaRegularizer),betaConstraint:V(this.betaConstraint),gammaConstraint:V(this.gammaConstraint)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="BatchNormalization",r}(Ze);t.serialization.registerClass(Oa);var Da=function(e){function r(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).axis=null==t.axis?-1:t.axis,"number"==typeof n.axis){if(!Number.isInteger(n.axis))throw new Error("Expected axis to be an integer, but received "+n.axis)}else{if(!Array.isArray(n.axis))throw new Error("Expected axis to be an integer or an array of integers, but received "+JSON.stringify(n.axis));for(var r=0,i=n.axis;r<i.length;r++){var a=i[r];if(!Number.isInteger(a))throw new Error("Expected axis to be an array of integers, but received "+JSON.stringify(n.axis))}}return n.epsilon=null==t.epsilon?.001:t.epsilon,n.center=null==t.center||t.center,n.scale=null==t.scale||t.scale,n.betaInitializer=he(t.betaInitializer||"zeros"),n.gammaInitializer=he(t.gammaInitializer||"ones"),n.betaRegularizer=Di(t.betaRegularizer),n.gammaRegularizer=Di(t.gammaRegularizer),n.supportsMasking=!0,n}return n(r,e),r.prototype.build=function(t){var e=(t=Fe(t)).length;"number"==typeof this.axis&&(this.axis=[this.axis]);for(var n=0;n<this.axis.length;++n)this.axis[n]<0&&(this.axis[n]+=e);for(var r=0,i=this.axis;r<i.length;r++){var a=i[r];if(a<0||a>=e)throw new Error("Invalid axis: "+a)}if(this.axis.length!==x(this.axis).length)throw new Error("Found duplicate axes in: "+this.axis);var s=this.axis.map(function(e){return t[e]});this.scale?this.gamma=this.addWeight("gamma",s,"float32",this.gammaInitializer,this.gammaRegularizer,!0):this.gamma=null,this.center?this.beta=this.addWeight("beta",s,"float32",this.betaInitializer,this.betaRegularizer,!0):this.beta=null,this.built=!0},r.prototype.call=function(e,n){var r=this,i=Re(e),a=i.shape,s=a.length;return(0,t.tidy)(function(){for(var e=(0,t.moments)(i,r.axis,!0),n=e.mean,o=e.variance,u=g(1,s),l=0,c=r.axis;l<c.length;l++){var h=c[l];u[h]=a[h]}for(var p=function(t){return null!=t&&t.shape.length!==s&&r.axis!==[s-1]?t.reshape(u):t},f=p(r.gamma.read()),d=p(r.beta.read()),m=[],y=[],v=0;v<s;++v)-1!==r.axis.indexOf(v)?(m.push(a[v]),y.push(1)):(m.push(1),y.push(a[v]));return n=n.tile(m),o=o.tile(m),f=f.tile(y),d=d.tile(y),xa(i,n,o,d,f,r.epsilon)})},r.prototype.getConfig=function(){var t={axis:this.axis,epsilon:this.epsilon,center:this.center,scale:this.scale,betaInitializer:ce(this.betaInitializer),gammaInitializer:ce(this.gammaInitializer),betaRegularizer:Ei(this.betaRegularizer),gammaRegularizer:Ei(this.gammaRegularizer)},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="LayerNormalization",r}(Ze);function Ra(e,n,r){return(0,t.tidy)(function(){if(4!==e.rank)throw new h("temporalPadding expects input tensor to be 4-D, but received a "+e.rank+"-D tensor.");if(null==n&&(n=[[1,1],[1,1]]),2!==n.length||2!==n[0].length||2!==n[1].length)throw new h("spatial2dPadding expects `padding` to be an Array of two Arrays, each of which is an Array of two integers.");if(null==r&&(r=u()),"channelsLast"!==r&&"channelsFirst"!==r)throw new h("Unknown data format: "+r+". Supported data formats are 'channelsLast' and 'channelsFirst.");var i;return i="channelsFirst"===r?[[0,0],[0,0],n[0],n[1]]:[[0,0],n[0],n[1],[0,0]],(0,t.pad)(e,i)})}t.serialization.registerClass(Da);var Fa=function(e){function r(t){var n=this;if(null==t&&(t={}),(n=e.call(this,t)||this).dataFormat=null==t.dataFormat?u():t.dataFormat,null==t.padding)n.padding=[[1,1],[1,1]];else if("number"==typeof t.padding)n.padding=[[t.padding,t.padding],[t.padding,t.padding]];else{if(t.padding=t.padding,2!==t.padding.length)throw new h("ZeroPadding2D expects padding to be a length-2 array, but received a length-"+t.padding.length+" array.");var r=void 0,i=void 0;if("number"==typeof t.padding[0])r=[t.padding[0],t.padding[0]],i=[t.padding[1],t.padding[1]];else{if(t.padding=t.padding,2!==t.padding[0].length)throw new h("ZeroPadding2D expects height padding to be a length-2 array, but received a length-"+t.padding[0].length+" array.");if(r=t.padding[0],2!==t.padding[1].length)throw new h("ZeroPadding2D expects width padding to be a length-2 array, but received a length-"+t.padding[1].length+" array.");i=t.padding[1]}n.padding=[r,i]}return n.inputSpec=[new Ue({ndim:4})],n}return n(r,e),r.prototype.computeOutputShape=function(t){var e,n;return t=Fe(t),"channelsFirst"===this.dataFormat?(e=null!=t[2]&&t[2]>=0?t[2]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[3]&&t[3]>=0?t[3]+this.padding[1][0]+this.padding[1][1]:null,[t[0],t[1],e,n]):(e=null!=t[1]&&t[1]>=0?t[1]+this.padding[0][0]+this.padding[0][1]:null,n=null!=t[2]&&t[2]>=0?t[2]+this.padding[1][0]+this.padding[1][1]:null,[t[0],e,n,t[3]])},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){return Ra(Re(e),r.padding,r.dataFormat)})},r.prototype.getConfig=function(){var t={padding:this.padding,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="ZeroPadding2D",r}(Ze);function _a(e,n,r,i,a,s){return(0,t.tidy)(function(){var o;nt(a),it(s),rt(i),null==r&&(r=[1,1]),null==i&&(i="valid"),null==a&&(a=u()),null==s&&(s="max"),e=Vi(e,a);var l="same"===i?"same":"valid";return o="max"===s?(0,t.maxPool)(e,n,r,l):(0,t.avgPool)(e,n,r,l),"channelsFirst"===a&&(o=(0,t.transpose)(o,[0,3,1,2])),o})}function Ma(e,n,r,i,a,s){return(0,t.tidy)(function(){var o;nt(a),it(s),rt(i),null==r&&(r=[1,1,1]),null==i&&(i="valid"),null==a&&(a=u()),null==s&&(s="max"),e=qi(e,a);var l="same"===i?"same":"valid";return o="max"===s?(0,t.maxPool3d)(e,n,r,l):(0,t.avgPool3d)(e,n,r,l),"channelsFirst"===a&&(o=(0,t.transpose)(o,[0,4,1,2,3])),o})}t.serialization.registerClass(Fa);var Ba=function(e){function r(t){var n=this;if(null==t.poolSize&&(t.poolSize=2),n=e.call(this,t)||this,"number"==typeof t.poolSize)n.poolSize=[t.poolSize];else{if(!Array.isArray(t.poolSize)||1!==t.poolSize.length||"number"!=typeof t.poolSize[0])throw new h("poolSize for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.poolSize));n.poolSize=t.poolSize}if(O(n.poolSize,"poolSize"),null==t.strides)n.strides=n.poolSize;else if("number"==typeof t.strides)n.strides=[t.strides];else{if(!Array.isArray(t.strides)||1!==t.strides.length||"number"!=typeof t.strides[0])throw new h("strides for 1D convolutional layer must be a number or an Array of a single number, but received "+JSON.stringify(t.strides));n.strides=t.strides}return O(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,rt(n.padding),n.inputSpec=[new Ue({ndim:3})],n}return n(r,e),r.prototype.computeOutputShape=function(t){var e=Wi((t=Fe(t))[1],this.poolSize[0],this.padding,this.strides[0]);return[t[0],e,t[2]]},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){r.invokeCallHook(e,n),e=wt(Re(e),2);var i=r.poolingFunction(Re(e),[r.poolSize[0],1],[r.strides[0],1],r.padding,"channelsLast");return(0,t.squeeze)(i,[2])})},r.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r}(Ze),Pa=function(t){function e(e){return t.call(this,e)||this}return n(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return nt(i),rt(r),_a(t,e,n,r,i,"max")},e.className="MaxPooling1D",e}(Ba);t.serialization.registerClass(Pa);var ja=function(t){function e(e){return t.call(this,e)||this}return n(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return nt(i),rt(r),_a(t,e,n,r,i,"avg")},e.className="AveragePooling1D",e}(Ba);t.serialization.registerClass(ja);var Wa=function(e){function r(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(2!==t.strides.length)throw new h("If the strides property of a 2D pooling layer is an Array, it is expected to have a length of 2, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides];return O(n.poolSize,"poolSize"),O(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,nt(n.dataFormat),rt(n.padding),n.inputSpec=[new Ue({ndim:4})],n}return n(r,e),r.prototype.computeOutputShape=function(t){t=Fe(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2];return e=Wi(e,this.poolSize[0],this.padding,this.strides[0]),n=Wi(n,this.poolSize[1],this.padding,this.strides[1]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n]:[t[0],e,n,t[3]]},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){return r.invokeCallHook(e,n),r.poolingFunction(Re(e),r.poolSize,r.strides,r.padding,r.dataFormat)})},r.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r}(Ze),Ua=function(t){function e(e){return t.call(this,e)||this}return n(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return nt(i),rt(r),_a(t,e,n,r,i,"max")},e.className="MaxPooling2D",e}(Wa);t.serialization.registerClass(Ua);var Va=function(t){function e(e){return t.call(this,e)||this}return n(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return nt(i),rt(r),_a(t,e,n,r,i,"avg")},e.className="AveragePooling2D",e}(Wa);t.serialization.registerClass(Va);var qa=function(e){function r(t){var n=this;if(null==t.poolSize&&(t.poolSize=[2,2,2]),(n=e.call(this,t)||this).poolSize=Array.isArray(t.poolSize)?t.poolSize:[t.poolSize,t.poolSize,t.poolSize],null==t.strides)n.strides=n.poolSize;else if(Array.isArray(t.strides)){if(3!==t.strides.length)throw new h("If the strides property of a 3D pooling layer is an Array, it is expected to have a length of 3, but received length "+t.strides.length+".");n.strides=t.strides}else n.strides=[t.strides,t.strides,t.strides];return O(n.poolSize,"poolSize"),O(n.strides,"strides"),n.padding=null==t.padding?"valid":t.padding,n.dataFormat=null==t.dataFormat?"channelsLast":t.dataFormat,nt(n.dataFormat),rt(n.padding),n.inputSpec=[new Ue({ndim:5})],n}return n(r,e),r.prototype.computeOutputShape=function(t){t=Fe(t);var e="channelsFirst"===this.dataFormat?t[2]:t[1],n="channelsFirst"===this.dataFormat?t[3]:t[2],r="channelsFirst"===this.dataFormat?t[4]:t[3];return e=Wi(e,this.poolSize[0],this.padding,this.strides[0]),n=Wi(n,this.poolSize[1],this.padding,this.strides[1]),r=Wi(r,this.poolSize[2],this.padding,this.strides[2]),"channelsFirst"===this.dataFormat?[t[0],t[1],e,n,r]:[t[0],e,n,r,t[4]]},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){return r.invokeCallHook(e,n),r.poolingFunction(Re(e),r.poolSize,r.strides,r.padding,r.dataFormat)})},r.prototype.getConfig=function(){var t={poolSize:this.poolSize,padding:this.padding,strides:this.strides,dataFormat:this.dataFormat},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r}(Ze),Ja=function(t){function e(e){return t.call(this,e)||this}return n(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return nt(i),rt(r),Ma(t,e,n,r,i,"max")},e.className="MaxPooling3D",e}(qa);t.serialization.registerClass(Ja);var Ha=function(t){function e(e){return t.call(this,e)||this}return n(e,t),e.prototype.poolingFunction=function(t,e,n,r,i){return nt(i),rt(r),Ma(t,e,n,r,i,"avg")},e.className="AveragePooling3D",e}(qa);t.serialization.registerClass(Ha);var Za=function(t){function e(e){var n=t.call(this,e)||this;return n.inputSpec=[new Ue({ndim:3})],n}return n(e,t),e.prototype.computeOutputShape=function(t){return[t[0],t[2]]},e.prototype.call=function(t,e){throw new p},e}(Ze),Ka=function(e){function r(t){return e.call(this,t||{})||this}return n(r,e),r.prototype.call=function(e,n){return(0,t.tidy)(function(){var n=Re(e);return(0,t.mean)(n,1)})},r.className="GlobalAveragePooling1D",r}(Za);t.serialization.registerClass(Ka);var Ga=function(e){function r(t){return e.call(this,t||{})||this}return n(r,e),r.prototype.call=function(e,n){return(0,t.tidy)(function(){var n=Re(e);return(0,t.max)(n,1)})},r.className="GlobalMaxPooling1D",r}(Za);t.serialization.registerClass(Ga);var Ya=function(t){function e(e){var n=t.call(this,e)||this;return n.dataFormat=null==e.dataFormat?"channelsLast":e.dataFormat,nt(n.dataFormat),n.inputSpec=[new Ue({ndim:4})],n}return n(e,t),e.prototype.computeOutputShape=function(t){return t=t,"channelsLast"===this.dataFormat?[t[0],t[3]]:[t[0],t[1]]},e.prototype.call=function(t,e){throw new p},e.prototype.getConfig=function(){var e={dataFormat:this.dataFormat},n=t.prototype.getConfig.call(this);return Object.assign(e,n),e},e}(Ze),Xa=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var n=Re(e);return"channelsLast"===r.dataFormat?(0,t.mean)(n,[1,2]):(0,t.mean)(n,[2,3])})},r.className="GlobalAveragePooling2D",r}(Ya);t.serialization.registerClass(Xa);var $a=function(e){function r(){return null!==e&&e.apply(this,arguments)||this}return n(r,e),r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var n=Re(e);return"channelsLast"===r.dataFormat?(0,t.max)(n,[1,2]):(0,t.max)(n,[2,3])})},r.className="GlobalMaxPooling2D",r}(Ya);function Qa(t,e,n,r){if(Array.isArray(t)){if(null!=e||null!=n)throw new h("When inputs is an array, neither initialState or constants should be provided");null!=r&&(n=t.slice(t.length-r,t.length),t=t.slice(0,t.length-r)),t.length>1&&(e=t.slice(1,t.length)),t=t[0]}function i(t){return null==t||Array.isArray(t)?t:[t]}return{inputs:t,initialState:e=i(e),constants:n=i(n)}}function ts(e,n,r,i,a,s,o,u){return void 0===i&&(i=!1),void 0===o&&(o=!1),void 0===u&&(u=!1),(0,t.tidy)(function(){var l=n.shape.length;if(l<3)throw new h("Input should be at least 3D, but is "+l+"D.");var c=[1,0].concat(vt(2,l));if(n=(0,t.transpose)(n,c),null!=s)throw new p("The rnn() functoin of the deeplearn.js backend does not support constants yet.");o&&console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend."),null!=a&&((a=a.asType("bool").asType("float32")).rank===l-1&&(a=(0,t.expandDims)(a,-1)),a=(0,t.transpose)(a,c)),i&&(n=(0,t.reverse)(n,0),null!=a&&(a=(0,t.reverse)(a,0)));var f,d,g=[],m=r,y=n.shape[0],v=(0,t.unstack)(n);null!=a&&(d=(0,t.unstack)(a));for(var b,w=function(n){var r=v[n],i=(0,t.tidy)(function(){return e(r,m)});if(null==a)f=i[0],m=i[1];else{var s=(0,t.tidy)(function(){var e=d[n],r=(0,t.onesLike)(e).sub(e);return{output:i[0].mul(e).addStrict(m[0].mul(r)),newStates:m.map(function(t,n){return i[1][n].mul(e).addStrict(t.mul(r))})}});f=s.output,m=s.newStates}u&&g.push(f)},z=0;z<y;++z)w(z);return u&&(b=(0,t.stack)(g,1)),[f,b,m]})}t.serialization.registerClass($a);var es=function(e){function r(t){var n,r=e.call(this,t)||this;if(null==t.cell)throw new h("cell property is missing for the constructor of RNN.");if(null==(n=Array.isArray(t.cell)?new ls({cells:t.cell}):t.cell).stateSize)throw new h("The RNN cell should have an attribute `stateSize` (tuple of integers, one integer per RNN state).");return r.cell=n,r.returnSequences=null!=t.returnSequences&&t.returnSequences,r.returnState=null!=t.returnState&&t.returnState,r.goBackwards=null!=t.goBackwards&&t.goBackwards,r._stateful=null!=t.stateful&&t.stateful,r.unroll=null!=t.unroll&&t.unroll,r.supportsMasking=!0,r.inputSpec=[new Ue({ndim:3})],r.stateSpec=null,r.states_=null,r.numConstants=null,r.keptStates=[],r}return n(r,e),r.prototype.getStates=function(){return null==this.states_?vt(0,Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1).map(function(t){return null}):this.states_},r.prototype.setStates=function(t){this.states_=t},r.prototype.computeOutputShape=function(t){Oe(t)&&(t=t[0]),t=t;var e=this.cell.stateSize;Array.isArray(e)||(e=[e]);var n,r=e[0];if(n=this.returnSequences?[t[0],t[1],r]:[t[0],r],this.returnState){for(var i=[],a=0,s=e;a<s.length;a++){var o=s[a];i.push([t[0],o])}return[n].concat(i)}return n},r.prototype.computeMask=function(e,n){var r=this;return(0,t.tidy)(function(){Array.isArray(n)&&(n=n[0]);var t=r.returnSequences?n:null;if(r.returnState){var e=r.states.map(function(t){return null});return[t].concat(e)}return t})},Object.defineProperty(r.prototype,"states",{get:function(){if(null==this.states_){for(var t=Array.isArray(this.cell.stateSize)?this.cell.stateSize.length:1,e=[],n=0;n<t;++n)e.push(null);return e}return this.states_},set:function(t){this.states_=t},enumerable:!0,configurable:!0}),r.prototype.build=function(e){if(null!=this.numConstants)throw new p("Constants support is not implemented in RNN yet.");Oe(e)&&(e=e[0]),e=e;var n=this.stateful?e[0]:null,r=e[e.length-1];this.inputSpec[0]=new Ue({shape:[n,null,r]});var i,a=[e[0]].concat(e.slice(2));if(this.cell.build(a),i=Array.isArray(this.cell.stateSize)?this.cell.stateSize:[this.cell.stateSize],null!=this.stateSpec){if(!t.util.arraysEqual(this.stateSpec.map(function(t){return t.shape[t.shape.length-1]}),i))throw new h("An initialState was passed that is not compatible with cell.stateSize. Received stateSpec="+this.stateSpec+"; However cell.stateSize is "+this.cell.stateSize)}else this.stateSpec=i.map(function(t){return new Ue({shape:[null,t]})});this.stateful&&this.resetStates()},r.prototype.resetStates=function(e,n){var r=this;void 0===n&&(n=!1),(0,t.tidy)(function(){if(!r.stateful)throw new l("Cannot call resetStates() on an RNN Layer that is not stateful.");var i=r.inputSpec[0].shape[0];if(null==i)throw new h("If an RNN is stateful, it needs to know its batch size. Specify the batch size of your input tensors: \n- If using a Sequential model, specify the batch size by passing a `batchInputShape` option to your first layer.\n- If using the functional API, specify the batch size by passing a `batchShape` option to your Input layer.");if(null==r.states_)Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(e){return(0,t.zeros)([i,e])}):r.states_=[(0,t.zeros)([i,r.cell.stateSize])];else if(null==e)(0,t.dispose)(r.states_),null!=r.keptStates&&((0,t.dispose)(r.keptStates),r.keptStates=[]),Array.isArray(r.cell.stateSize)?r.states_=r.cell.stateSize.map(function(e){return(0,t.zeros)([i,e])}):r.states_[0]=(0,t.zeros)([i,r.cell.stateSize]);else{if(Array.isArray(e)||(e=[e]),e.length!==r.states_.length)throw new h("Layer "+r.name+" expects "+r.states_.length+" state(s), but it received "+e.length+" state value(s). Input received: "+e);!0===n?r.keptStates.push(r.states_.slice()):(0,t.dispose)(r.states_);for(var a=0;a<r.states_.length;++a){var s=e[a],o=Array.isArray(r.cell.stateSize)?r.cell.stateSize[a]:r.cell.stateSize,u=[i,o];if(!t.util.arraysEqual(s.shape,u))throw new h("State "+a+" is incompatible with layer "+r.name+": expected shape="+u+", received shape="+s.shape);r.states_[a]=s}}r.states_=r.states_.map(function(e){return(0,t.keep)(e.clone())})})},r.prototype.apply=function(t,n){var r=null==n?null:n.initialState,i=null==n?null:n.constants;null==n&&(n={});var a=Qa(t,r,i,this.numConstants);t=a.inputs,r=a.initialState,i=a.constants;var s=[],o=[];if(null!=r){n.initialState=r,s=s.concat(r),this.stateSpec=[];for(var u=0,l=r;u<l.length;u++){var c=l[u];this.stateSpec.push(new Ue({shape:c.shape}))}o=o.concat(this.stateSpec)}if(null!=i&&(n.constants=i,s=s.concat(i),this.numConstants=i.length),s[0]instanceof Ve){var h=[t].concat(s),p=this.inputSpec.concat(o),f=this.inputSpec;this.inputSpec=p;var d=e.prototype.apply.call(this,h,n);return this.inputSpec=f,d}return e.prototype.apply.call(this,t,n)},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var t=null==n?null:n.mask,i=null==n?null:n.training,a=null==n?null:n.initialState;e=Re(e),null==a&&(a=r.stateful?r.states_:r.getInitialState(e));var s=Array.isArray(r.cell.stateSize)?r.cell.stateSize.length:1;if(a.length!==s)throw new h("RNN Layer has "+s+" state(s) but was passed "+a.length+" initial state(s).");r.unroll&&console.warn("Ignoring unroll = true for RNN layer, due to imperative backend.");var o={training:i},u=ts(function(t,e){var n=r.cell.call([t].concat(e),o);return[n[0],n.slice(1)]},e,a,r.goBackwards,t,null,r.unroll,r.returnSequences),l=u[0],c=u[1],p=u[2];r.stateful&&r.resetStates(p,i);var f=r.returnSequences?c:l;return r.returnState?[f].concat(p):f})},r.prototype.getInitialState=function(e){var n=this;return(0,t.tidy)(function(){var r=(0,t.zeros)(e.shape);return r=wt(r=(0,t.sum)(r,[1,2])),Array.isArray(n.cell.stateSize)?n.cell.stateSize.map(function(t){return t>1?Tt(r,[1,t]):r}):n.cell.stateSize>1?[Tt(r,[1,n.cell.stateSize])]:[r]})},Object.defineProperty(r.prototype,"trainableWeights",{get:function(){return this.trainable?this.cell.trainableWeights:[]},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"nonTrainableWeights",{get:function(){return this.trainable?this.cell.nonTrainableWeights:this.cell.weights},enumerable:!0,configurable:!0}),r.prototype.setFastWeightInitDuringBuild=function(t){e.prototype.setFastWeightInitDuringBuild.call(this,t),null!=this.cell&&this.cell.setFastWeightInitDuringBuild(t)},r.prototype.getConfig=function(){var t={returnSequences:this.returnSequences,returnState:this.returnState,goBackwards:this.goBackwards,stateful:this.stateful,unroll:this.unroll};null!=this.numConstants&&(t.numConstants=this.numConstants);var n=this.cell.getConfig();t.cell={className:this.cell.getClassName(),config:n};var r=e.prototype.getConfig.call(this);return Object.assign(t,r),t},r.fromConfig=function(t,e,n){void 0===n&&(n={});var r=pn(e.cell,n);return new t(Object.assign(e,{cell:r}))},r.className="RNN",r}(Ze);exports.RNN=es,t.serialization.registerClass(es);var ns=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e}(Ze),rs=function(e){function r(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,O(n.units,"units"),n.activation=Ni(null==t.activation?n.DEFAULT_ACTIVATION:t.activation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=he(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=he(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=he(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Di(t.kernelRegularizer),n.recurrentRegularizer=Di(t.recurrentRegularizer),n.biasRegularizer=Di(t.biasRegularizer),n.kernelConstraint=J(t.kernelConstraint),n.recurrentConstraint=J(t.recurrentConstraint),n.biasConstraint=J(t.biasConstraint),n.dropout=mt([1,yt([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=mt([1,yt([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return n(r,e),r.prototype.build=function(t){t=Fe(t),this.kernel=this.addWeight("kernel",[t[t.length-1],this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){if(2!==(e=e).length)throw new h("SimpleRNNCell expects 2 input Tensors, got "+e.length+".");var i=e[1];e=e[0];var a,s=null!=n.training&&n.training;0<r.dropout&&r.dropout<1&&null==r.dropoutMask&&(r.dropoutMask=cs(function(){return(0,t.onesLike)(e)},r.dropout,s)),0<r.recurrentDropout&&r.recurrentDropout<1&&null==r.recurrentDropoutMask&&(r.recurrentDropoutMask=cs(function(){return(0,t.onesLike)(i)},r.recurrentDropout,s));var o=r.dropoutMask,u=r.recurrentDropoutMask;a=Et(null!=o?(0,t.mul)(e,o):e,r.kernel.read()),null!=r.bias&&(a=Ft(a,r.bias.read())),null!=u&&(i=(0,t.mul)(i,u));var l=(0,t.add)(a,Et(i,r.recurrentKernel.read()));return null!=r.activation&&(l=r.activation.apply(l)),[l,l]})},r.prototype.getConfig=function(){var t={units:this.units,activation:ki(this.activation),useBias:this.useBias,kernelInitializer:ce(this.kernelInitializer),recurrentInitializer:ce(this.recurrentInitializer),biasInitializer:ce(this.biasInitializer),kernelRegularizer:Ei(this.kernelRegularizer),recurrentRegularizer:Ei(this.recurrentRegularizer),biasRegularizer:Ei(this.biasRegularizer),activityRegularizer:Ei(this.activityRegularizer),kernelConstraint:V(this.kernelConstraint),recurrentConstraint:V(this.recurrentConstraint),biasConstraint:V(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="SimpleRNNCell",r}(ns);t.serialization.registerClass(rs);var is=function(e){function r(t){return t.cell=new rs(t),e.call(this,t)||this}return n(r,e),r.prototype.call=function(n,r){var i=this;return(0,t.tidy)(function(){null!=i.cell.dropoutMask&&((0,t.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&((0,t.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=null==r?null:r.mask,s=null==r?null:r.training,o=null==r?null:r.initialState;return e.prototype.call.call(i,n,{mask:a,training:s,initialState:o})})},Object.defineProperty(r.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),r.prototype.getConfig=function(){var t={units:this.units,activation:ki(this.activation),useBias:this.useBias,kernelInitializer:ce(this.kernelInitializer),recurrentInitializer:ce(this.recurrentInitializer),biasInitializer:ce(this.biasInitializer),kernelRegularizer:Ei(this.kernelRegularizer),recurrentRegularizer:Ei(this.recurrentRegularizer),biasRegularizer:Ei(this.biasRegularizer),activityRegularizer:Ei(this.activityRegularizer),kernelConstraint:V(this.kernelConstraint),recurrentConstraint:V(this.recurrentConstraint),biasConstraint:V(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},r.fromConfig=function(t,e){return new t(e)},r.className="SimpleRNN",r}(es);t.serialization.registerClass(is);var as=function(e){function r(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,O(n.units,"units"),n.activation=Ni(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Ni(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=he(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=he(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=he(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.kernelRegularizer=Di(t.kernelRegularizer),n.recurrentRegularizer=Di(t.recurrentRegularizer),n.biasRegularizer=Di(t.biasRegularizer),n.kernelConstraint=J(t.kernelConstraint),n.recurrentConstraint=J(t.recurrentConstraint),n.biasConstraint=J(t.biasConstraint),n.dropout=mt([1,yt([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=mt([1,yt([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=n.units,n.dropoutMask=null,n.recurrentDropoutMask=null,n}return n(r,e),r.prototype.build=function(t){var e=(t=Fe(t))[t.length-1];this.kernel=this.addWeight("kernel",[e,3*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,3*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias?this.bias=this.addWeight("bias",[3*this.units],null,this.biasInitializer,this.biasRegularizer,!0,this.biasConstraint):this.bias=null,this.built=!0},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){if(2!==(e=e).length)throw new h("GRUCell expects 2 input Tensors (inputs, h, c), got "+e.length+".");var i=null!=n.training&&n.training,a=e[1];e=e[0],0<r.dropout&&r.dropout<1&&null==r.dropoutMask&&(r.dropoutMask=cs(function(){return(0,t.onesLike)(e)},r.dropout,i,3)),0<r.recurrentDropout&&r.recurrentDropout<1&&null==r.recurrentDropoutMask&&(r.recurrentDropoutMask=cs(function(){return(0,t.onesLike)(a)},r.recurrentDropout,i,3));var s,o,u,l=r.dropoutMask,c=r.recurrentDropoutMask;0<r.dropout&&r.dropout<1&&(e=(0,t.mul)(e,l[0]));var p=Et(e,r.kernel.read());r.useBias&&(p=Ft(p,r.bias.read())),0<r.recurrentDropout&&r.recurrentDropout<1&&(a=(0,t.mul)(a,c[0]));var f=r.recurrentKernel.read(),d=(0,t.split)(f,[2*r.units,r.units],f.rank-1),g=d[0],m=d[1],y=Et(a,g),v=(0,t.split)(p,3,p.rank-1),b=v[0],w=v[1],z=v[2],k=(0,t.split)(y,2,y.rank-1),S=k[0],N=k[1];s=r.recurrentActivation.apply((0,t.add)(b,S)),o=r.recurrentActivation.apply((0,t.add)(w,N));var C=Et((0,t.mul)(o,a),m);u=r.activation.apply((0,t.add)(z,C));var A=(0,t.add)((0,t.mul)(s,a),(0,t.mul)((0,t.add)(1,(0,t.neg)(s)),u));return[A,A]})},r.prototype.getConfig=function(){var t={units:this.units,activation:ki(this.activation),recurrentActivation:ki(this.recurrentActivation),useBias:this.useBias,kernelInitializer:ce(this.kernelInitializer),recurrentInitializer:ce(this.recurrentInitializer),biasInitializer:ce(this.biasInitializer),kernelRegularizer:Ei(this.kernelRegularizer),recurrentRegularizer:Ei(this.recurrentRegularizer),biasRegularizer:Ei(this.biasRegularizer),activityRegularizer:Ei(this.activityRegularizer),kernelConstraint:V(this.kernelConstraint),recurrentConstraint:V(this.recurrentConstraint),biasConstraint:V(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="GRUCell",r}(ns);t.serialization.registerClass(as);var ss=function(e){function r(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new as(t),e.call(this,t)||this}return n(r,e),r.prototype.call=function(n,r){var i=this;return(0,t.tidy)(function(){null!=i.cell.dropoutMask&&((0,t.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&((0,t.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=null==r?null:r.mask,s=null==r?null:r.training,o=null==r?null:r.initialState;return e.prototype.call.call(i,n,{mask:a,training:s,initialState:o})})},Object.defineProperty(r.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),r.prototype.getConfig=function(){var t={units:this.units,activation:ki(this.activation),recurrentActivation:ki(this.recurrentActivation),useBias:this.useBias,kernelInitializer:ce(this.kernelInitializer),recurrentInitializer:ce(this.recurrentInitializer),biasInitializer:ce(this.biasInitializer),kernelRegularizer:Ei(this.kernelRegularizer),recurrentRegularizer:Ei(this.recurrentRegularizer),biasRegularizer:Ei(this.biasRegularizer),activityRegularizer:Ei(this.activityRegularizer),kernelConstraint:V(this.kernelConstraint),recurrentConstraint:V(this.recurrentConstraint),biasConstraint:V(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},r.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},r.className="GRU",r}(es);t.serialization.registerClass(ss);var os=function(e){function r(t){var n=e.call(this,t)||this;return n.DEFAULT_ACTIVATION="tanh",n.DEFAULT_RECURRENT_ACTIVATION="hardSigmoid",n.DEFAULT_KERNEL_INITIALIZER="glorotNormal",n.DEFAULT_RECURRENT_INITIALIZER="orthogonal",n.DEFAULT_BIAS_INITIALIZER="zeros",n.units=t.units,O(n.units,"units"),n.activation=Ni(void 0===t.activation?n.DEFAULT_ACTIVATION:t.activation),n.recurrentActivation=Ni(void 0===t.recurrentActivation?n.DEFAULT_RECURRENT_ACTIVATION:t.recurrentActivation),n.useBias=null==t.useBias||t.useBias,n.kernelInitializer=he(t.kernelInitializer||n.DEFAULT_KERNEL_INITIALIZER),n.recurrentInitializer=he(t.recurrentInitializer||n.DEFAULT_RECURRENT_INITIALIZER),n.biasInitializer=he(t.biasInitializer||n.DEFAULT_BIAS_INITIALIZER),n.unitForgetBias=t.unitForgetBias,n.kernelRegularizer=Di(t.kernelRegularizer),n.recurrentRegularizer=Di(t.recurrentRegularizer),n.biasRegularizer=Di(t.biasRegularizer),n.kernelConstraint=J(t.kernelConstraint),n.recurrentConstraint=J(t.recurrentConstraint),n.biasConstraint=J(t.biasConstraint),n.dropout=mt([1,yt([0,null==t.dropout?0:t.dropout])]),n.recurrentDropout=mt([1,yt([0,null==t.recurrentDropout?0:t.recurrentDropout])]),n.implementation=t.implementation,n.stateSize=[n.units,n.units],n.dropoutMask=null,n.recurrentDropoutMask=null,n}return n(r,e),r.prototype.build=function(t){var e,r,i=(t=Fe(t))[t.length-1];if(this.kernel=this.addWeight("kernel",[i,4*this.units],null,this.kernelInitializer,this.kernelRegularizer,!0,this.kernelConstraint),this.recurrentKernel=this.addWeight("recurrent_kernel",[this.units,4*this.units],null,this.recurrentInitializer,this.recurrentRegularizer,!0,this.recurrentConstraint),this.useBias){if(this.unitForgetBias){var a=this.biasInitializer,s=this.units;r=new((e=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.apply=function(t,e){var n=a.apply([s]),r=(new Zt).apply([s]),i=a.apply([2*s]);return xt(xt(n,r),i)},e}(Jt)).className="CustomInit",e)}else r=this.biasInitializer;this.bias=this.addWeight("bias",[4*this.units],null,r,this.biasRegularizer,!0,this.biasConstraint)}else this.bias=null;this.built=!0},r.prototype.call=function(e,n){var r=this;return(0,t.tidy)(function(){var i=null!=n.training&&n.training;if(3!==(e=e).length)throw new h("LSTMCell expects 3 input Tensors (inputs, h, c), got "+e.length+".");var a=e[1],s=e[2];e=e[0],0<r.dropout&&r.dropout<1&&null==r.dropoutMask&&(r.dropoutMask=cs(function(){return(0,t.onesLike)(e)},r.dropout,i,4)),0<r.recurrentDropout&&r.recurrentDropout<1&&null==r.recurrentDropoutMask&&(r.recurrentDropoutMask=cs(function(){return(0,t.onesLike)(a)},r.recurrentDropout,i,4));var o,u,l,c,p=r.dropoutMask,f=r.recurrentDropoutMask;0<r.dropout&&r.dropout<1&&(e=(0,t.mul)(e,p[0]));var d=Et(e,r.kernel.read());0<r.recurrentDropout&&r.recurrentDropout<1&&(a=(0,t.mul)(a,f[0])),d=(0,t.add)(d,Et(a,r.recurrentKernel.read())),r.useBias&&(d=Ft(d,r.bias.read()));var g=(0,t.split)(d,4,d.rank-1),m=g[0],y=g[1],v=g[2],b=g[3];o=r.recurrentActivation.apply(m),u=r.recurrentActivation.apply(y),l=(0,t.add)((0,t.mul)(u,s),(0,t.mul)(o,r.activation.apply(v))),c=r.recurrentActivation.apply(b);var w=(0,t.mul)(c,r.activation.apply(l));return[w,w,l]})},r.prototype.getConfig=function(){var t={units:this.units,activation:ki(this.activation),recurrentActivation:ki(this.recurrentActivation),useBias:this.useBias,kernelInitializer:ce(this.kernelInitializer),recurrentInitializer:ce(this.recurrentInitializer),biasInitializer:ce(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Ei(this.kernelRegularizer),recurrentRegularizer:Ei(this.recurrentRegularizer),biasRegularizer:Ei(this.biasRegularizer),activityRegularizer:Ei(this.activityRegularizer),kernelConstraint:V(this.kernelConstraint),recurrentConstraint:V(this.recurrentConstraint),biasConstraint:V(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return Object.assign(t,n),t},r.className="LSTMCell",r}(ns);t.serialization.registerClass(os);var us=function(e){function r(t){return 0===t.implementation&&console.warn("`implementation=0` has been deprecated, and now defaults to `implementation=1`. Please update your layer call."),t.cell=new os(t),e.call(this,t)||this}return n(r,e),r.prototype.call=function(n,r){var i=this;return(0,t.tidy)(function(){null!=i.cell.dropoutMask&&((0,t.dispose)(i.cell.dropoutMask),i.cell.dropoutMask=null),null!=i.cell.recurrentDropoutMask&&((0,t.dispose)(i.cell.recurrentDropoutMask),i.cell.recurrentDropoutMask=null);var a=null==r?null:r.mask,s=null==r?null:r.training,o=null==r?null:r.initialState;return e.prototype.call.call(i,n,{mask:a,training:s,initialState:o})})},Object.defineProperty(r.prototype,"units",{get:function(){return this.cell.units},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"activation",{get:function(){return this.cell.activation},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentActivation",{get:function(){return this.cell.recurrentActivation},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"useBias",{get:function(){return this.cell.useBias},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelInitializer",{get:function(){return this.cell.kernelInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentInitializer",{get:function(){return this.cell.recurrentInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasInitializer",{get:function(){return this.cell.biasInitializer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"unitForgetBias",{get:function(){return this.cell.unitForgetBias},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelRegularizer",{get:function(){return this.cell.kernelRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentRegularizer",{get:function(){return this.cell.recurrentRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasRegularizer",{get:function(){return this.cell.biasRegularizer},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"kernelConstraint",{get:function(){return this.cell.kernelConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentConstraint",{get:function(){return this.cell.recurrentConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"biasConstraint",{get:function(){return this.cell.biasConstraint},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"dropout",{get:function(){return this.cell.dropout},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"recurrentDropout",{get:function(){return this.cell.recurrentDropout},enumerable:!0,configurable:!0}),Object.defineProperty(r.prototype,"implementation",{get:function(){return this.cell.implementation},enumerable:!0,configurable:!0}),r.prototype.getConfig=function(){var t={units:this.units,activation:ki(this.activation),recurrentActivation:ki(this.recurrentActivation),useBias:this.useBias,kernelInitializer:ce(this.kernelInitializer),recurrentInitializer:ce(this.recurrentInitializer),biasInitializer:ce(this.biasInitializer),unitForgetBias:this.unitForgetBias,kernelRegularizer:Ei(this.kernelRegularizer),recurrentRegularizer:Ei(this.recurrentRegularizer),biasRegularizer:Ei(this.biasRegularizer),activityRegularizer:Ei(this.activityRegularizer),kernelConstraint:V(this.kernelConstraint),recurrentConstraint:V(this.recurrentConstraint),biasConstraint:V(this.biasConstraint),dropout:this.dropout,recurrentDropout:this.recurrentDropout,implementation:this.implementation},n=e.prototype.getConfig.call(this);return delete n.cell,Object.assign(t,n),t},r.fromConfig=function(t,e){return 0===e.implmentation&&(e.implementation=1),new t(e)},r.className="LSTM",r}(es);t.serialization.registerClass(us);var ls=function(e){function r(t){var n=e.call(this,t)||this;return 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t.endsWith("\r")&&(t=t.slice(0,-1)),t})]}})})},e}($),st='"',ut=Symbol("out"),at=Symbol("field"),ct=Symbol("quote"),ht=Symbol("quoteafterquote"),lt=Symbol("quoteinquote"),ft=function(t){function e(e,r){var i=t.call(this)||this;return i.input=e,i.hasHeader=!0,i.fullColumnNames=null,i.columnNamesValidated=!1,i.columnConfigs=null,i.configuredColumnsOnly=!1,i.delimiter=",",i.delimWhitespace=!1,i.base=new ot(e),r||(r={}),i.hasHeader=!1!==r.hasHeader,i.fullColumnNames=r.columnNames,i.columnConfigs=r.columnConfigs,i.configuredColumnsOnly=r.configuredColumnsOnly,r.delimWhitespace?(n.util.assert(null==r.delimiter,function(){return"Delimiter should not be provided when delimWhitespace is true."}),i.delimWhitespace=!0,i.delimiter=" "):i.delimiter=r.delimiter?r.delimiter:",",i}return i(e,t),e.prototype.columnNames=function(){return o(this,void 0,void 0,function(){return s(this,function(t){switch(t.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:t.sent(),t.label=2;case 2:return[2,this.configuredColumnsOnly?Object.keys(this.columnConfigs):this.fullColumnNames]}})})},e.prototype.setColumnNames=function(){return o(this,void 0,void 0,function(){var t,e,r,i,o,u,a=this;return s(this,function(s){switch(s.label){case 0:return[4,this.maybeReadHeaderLine()];case 1:if(t=s.sent(),!this.fullColumnNames&&!t)throw new Error("Column names must be provided if there is no header line.");if(this.fullColumnNames&&t&&n.util.assert(t.length===this.fullColumnNames.length,function(){return"The length of provided columnNames ("+a.fullColumnNames.length.toString()+") does not match the length of the header line read from file ("+t.length.toString()+")."}),this.fullColumnNames||(this.fullColumnNames=t),e=this.fullColumnNames.reduce(function(t,e){return t[e]=t[e]+1||1,t},{}),r=Object.keys(e).filter(function(t){return e[t]>1}),n.util.assert(0===r.length,function(){return"Duplicate column names found: "+r.toString()}),this.columnConfigs)for(i=0,o=Object.keys(this.columnConfigs);i<o.length;i++)if(u=o[i],-1===this.fullColumnNames.indexOf(u))throw new Error('The key "'+u+'" provided in columnConfigs does not match any of the column names ('+this.fullColumnNames.toString()+").");return this.columnNamesValidated=!0,[2]}})})},e.prototype.maybeReadHeaderLine=function(){return o(this,void 0,void 0,function(){var t,e;return s(this,function(n){switch(n.label){case 0:return this.hasHeader?[4,this.base.iterator()]:[3,3];case 1:return[4,n.sent().next()];case 2:if((t=n.sent()).done)throw new Error("No data was found for CSV parsing.");return e=t.value,[2,this.parseRow(e,!1)];case 3:return[2,null]}})})},e.prototype.iterator=function(){return o(this,void 0,void 0,function(){var t,e=this;return s(this,function(n){switch(n.label){case 0:return this.columnNamesValidated?[3,2]:[4,this.setColumnNames()];case 1:n.sent(),n.label=2;case 2:return[4,this.base.iterator()];case 3:return t=n.sent(),this.hasHeader&&(t=t.skip(1)),[2,t.map(function(t){return e.makeDataElement(t)})]}})})},e.prototype.makeDataElement=function(t){for(var e=this.parseRow(t),n={},r={},i=0;i<this.fullColumnNames.length;i++){var o=this.fullColumnNames[i],s=this.columnConfigs?this.columnConfigs[o]:null;if(!this.configuredColumnsOnly||s){var u=e[i],a=null;if(""===u)if(s&&void 0!==s.default)a=s.default;else{if(s&&(s.required||s.isLabel))throw new Error("Required column "+o+" is empty in this line: "+t);a=void 0}else{var c=Number(u);if(isNaN(c))a=s&&"bool"===s.dtype?this.getBoolean(u):u;else if(s&&s.dtype)switch(s.dtype){case"float32":a=c;break;case"int32":a=Math.floor(c);break;case"bool":a=this.getBoolean(u);break;default:a=c}else a=c}s&&s.isLabel?r[o]=a:n[o]=a}}return 0===Object.keys(r).length?n:{xs:n,ys:r}},e.prototype.getBoolean=function(t){return"1"===t||"true"===t.toLowerCase()?1:0},e.prototype.parseRow=function(t,e){void 0===e&&(e=!0);for(var n=[],r=0,i=t.length,o=ut,s=0;s<i;s++)switch(o){case ut:switch(t.charAt(s)){case st:r=s+1,o=ct;break;case this.delimiter:if(r=s+1," "===this.delimiter&&this.delimWhitespace)break;n.push(""),o=ut;break;default:o=at,r=s}break;case at:switch(t.charAt(s)){case this.delimiter:n.push(t.substring(r,s)),o=ut,r=s+1}break;case ct:switch(t.charAt(s)){case st:o=ht}break;case ht:switch(t.charAt(s)){case this.delimiter:n.push(t.substring(r,s-1)),o=ut,r=s+1;break;case st:o=ct;break;default:o=lt}break;case lt:switch(t.charAt(s)){case st:o=ct}}if(o===ht?n.push(t.substring(r,i-1)):n.push(t.substring(r)),e&&n.length!==this.fullColumnNames.length)throw new Error("Invalid row in csv file. Should have "+this.fullColumnNames.length+" elements in a row, but got "+n);return n},e}($),pt=function(t){function e(e){var n=t.call(this)||this;n.microphoneConfig=e,n.isClosed=!1,n.fftSize=e.fftSize||1024;var r=Math.log2(n.fftSize);if(n.fftSize<0||r<4||r>14||!Number.isInteger(r))throw new Error("Invalid fftSize: it must be a power of 2 between 2 to 4 and 2 to 14, but got "+n.fftSize);if(n.numFrames=e.numFramesPerSpectrogram||43,n.sampleRateHz=e.sampleRateHz,n.columnTruncateLength=e.columnTruncateLength||n.fftSize,n.audioTrackConstraints=e.audioTrackConstraints,n.smoothingTimeConstant=e.smoothingTimeConstant||0,n.includeSpectrogram=!1!==e.includeSpectrogram,n.includeWaveform=!0===e.includeWaveform,!n.includeSpectrogram&&!n.includeWaveform)throw new Error("Both includeSpectrogram and includeWaveform are false. At least one type of data should be returned.");return n}return i(e,t),e.prototype.summary=function(){return"microphone"},e.create=function(t){return void 0===t&&(t={}),o(this,void 0,void 0,function(){var r;return s(this,function(i){switch(i.label){case 0:if((0,n.env)().get("IS_NODE"))throw new Error("microphone API is only supported in browser environment.");return[4,(r=new e(t)).start()];case 1:return i.sent(),[2,r]}})})},e.prototype.start=function(){return o(this,void 0,void 0,function(){var t,e,n,r;return s(this,function(i){switch(i.label){case 0:return i.trys.push([0,2,,3]),t=this,[4,navigator.mediaDevices.getUserMedia({audio:null==this.audioTrackConstraints||this.audioTrackConstraints,video:!1})];case 1:return t.stream=i.sent(),[3,3];case 2:throw e=i.sent(),new Error("Error thrown while initializing video stream: "+e.message);case 3:if(!this.stream)throw new Error("Could not obtain audio from microphone.");if(n=window.AudioContext||window.webkitAudioContext,this.audioContext=new n,this.sampleRateHz){if(this.audioContext.sampleRate!==this.sampleRateHz)throw new Error("Mismatch in sampling rate: Expected: "+this.sampleRateHz+"; Actual: "+this.audioContext.sampleRate)}else this.sampleRateHz=this.audioContext.sampleRate;return r=this.audioContext.createMediaStreamSource(this.stream),this.analyser=this.audioContext.createAnalyser(),this.analyser.fftSize=2*this.fftSize,this.analyser.smoothingTimeConstant=this.smoothingTimeConstant,r.connect(this.analyser),this.freqData=new Float32Array(this.fftSize),this.timeData=new Float32Array(this.fftSize),[2]}})})},e.prototype.next=function(){return o(this,void 0,void 0,function(){var t,e,n,r,i;return s(this,function(o){switch(o.label){case 0:return this.isClosed?[2,{value:null,done:!0}]:[4,this.getAudioData()];case 1:return n=o.sent(),this.includeSpectrogram&&(r=this.flattenQueue(n.freqDataQueue),t=this.getTensorFromAudioDataArray(r,[this.numFrames,this.columnTruncateLength,1])),this.includeWaveform&&(i=this.flattenQueue(n.timeDataQueue),e=this.getTensorFromAudioDataArray(i,[this.numFrames*this.fftSize,1])),[2,{value:{spectrogram:t,waveform:e},done:!1}]}})})},e.prototype.capture=function(){return o(this,void 0,void 0,function(){return s(this,function(t){switch(t.label){case 0:return[4,this.next()];case 1:return[2,t.sent().value]}})})},e.prototype.getAudioData=function(){return o(this,void 0,void 0,function(){var t,e,n,r=this;return s(this,function(i){return t=[],e=[],n=0,[2,new Promise(function(i){var o=setInterval(function(){r.includeSpectrogram&&(r.analyser.getFloatFrequencyData(r.freqData),r.freqData[0]===-1/0&&i({freqDataQueue:t,timeDataQueue:e}),t.push(r.freqData.slice(0,r.columnTruncateLength))),r.includeWaveform&&(r.analyser.getFloatTimeDomainData(r.timeData),e.push(r.timeData.slice())),++n===r.numFrames&&(clearInterval(o),i({freqDataQueue:t,timeDataQueue:e}))},r.fftSize/r.sampleRateHz*1e3)})]})})},e.prototype.stop=function(){this.isClosed||(this.isClosed=!0,this.analyser.disconnect(),this.audioContext.close(),null!=this.stream&&this.stream.getTracks().length>0&&this.stream.getTracks()[0].stop())},e.prototype.toArray=function(){throw new Error("Can not convert infinite audio stream to array.")},e.prototype.getSampleRate=function(){return this.sampleRateHz},e.prototype.flattenQueue=function(t){var e=t[0].length,n=new Float32Array(t.length*e);return t.forEach(function(t,r){return n.set(t,r*e)}),n},e.prototype.getTensorFromAudioDataArray=function(t,e){var r=new Float32Array(n.util.sizeFromShape(e));return r.set(t,r.length-t.length),(0,n.tensor)(r,e)},e}(j),dt=function(t){function e(e,r){var i=t.call(this)||this;if(i.webcamVideoElement=e,i.webcamConfig=r,i.isClosed=!0,i.resize=!1,i.needToResize())if(i.resize=!0,i.cropSize=[i.webcamConfig.resizeHeight,i.webcamConfig.resizeWidth],i.cropBoxInd=(0,n.tensor1d)([0],"int32"),i.webcamConfig.centerCrop){var o=1*i.webcamConfig.resizeWidth/i.webcamVideoElement.width,s=1*i.webcamConfig.resizeHeight/i.webcamVideoElement.height,u=(1-o)/2,a=(1-s)/2,c=u+o,h=s+a;i.cropBox=(0,n.tensor2d)([a,u,h,c],[1,4])}else i.cropBox=(0,n.tensor2d)([0,0,1,1],[1,4]);return i}return i(e,t),e.prototype.summary=function(){return"webcam"},e.create=function(t,r){return void 0===r&&(r={}),o(this,void 0,void 0,function(){var i;return s(this,function(o){switch(o.label){case 0:if((0,n.env)().get("IS_NODE"))throw new Error("tf.data.webcam is only supported in browser environment.");if(!t){if(t=document.createElement("video"),!r.resizeWidth||!r.resizeHeight)throw new Error("Please provide webcam video element, or resizeWidth and resizeHeight to create a hidden video element.");t.width=r.resizeWidth,t.height=r.resizeHeight}return[4,(i=new e(t,r)).start()];case 1:return o.sent(),[2,i]}})})},e.prototype.start=function(){return o(this,void 0,void 0,function(){var t,e,r=this;return s(this,function(i){switch(i.label){case 0:this.webcamConfig.facingMode&&n.util.assert("user"===this.webcamConfig.facingMode||"environment"===this.webcamConfig.facingMode,function(){return"Invalid webcam facing mode: "+r.webcamConfig.facingMode+". Please provide 'user' or 'environment'"}),i.label=1;case 1:return i.trys.push([1,3,,4]),t=this,[4,navigator.mediaDevices.getUserMedia({video:{deviceId:this.webcamConfig.deviceId,facingMode:this.webcamConfig.facingMode?this.webcamConfig.facingMode:"user",width:this.webcamVideoElement.width,height:this.webcamVideoElement.height}})];case 2:return t.stream=i.sent(),[3,4];case 3:throw(e=i.sent()).message="Error thrown while initializing video stream: "+e.message,e;case 4:if(!this.stream)throw new Error("Could not obtain video from webcam.");try{this.webcamVideoElement.srcObject=this.stream}catch(t){console.log(t),this.webcamVideoElement.src=window.URL.createObjectURL(this.stream)}return this.webcamVideoElement.play(),this.isClosed=!1,[2,new Promise(function(t){r.webcamVideoElement.onloadedmetadata=function(){t()}})]}})})},e.prototype.next=function(){return o(this,void 0,void 0,function(){var t;return s(this,function(e){if(this.isClosed)return[2,{value:null,done:!0}];try{t=n.browser.fromPixels(this.webcamVideoElement)}catch(t){throw new Error("Error thrown converting video to pixels: "+JSON.stringify(t))}if(!this.resize)return[2,{value:t,done:!1}];try{return[2,{value:this.cropAndResizeFrame(t),done:!1}]}catch(t){throw new Error("Error thrown cropping the video: "+t.message)}finally{t.dispose()}return[2]})})},e.prototype.needToResize=function(){return!(!this.webcamConfig.resizeWidth||!this.webcamConfig.resizeHeight||this.webcamVideoElement.width===this.webcamConfig.resizeWidth&&this.webcamVideoElement.height===this.webcamConfig.resizeHeight)},e.prototype.cropAndResizeFrame=function(t){var e=this;return(0,n.tidy)(function(){var r,i=t.toFloat().expandDims(0),o=(r=n.image.cropAndResize(i,e.cropBox,e.cropBoxInd,e.cropSize,"bilinear")).shape;return r.reshape(o.slice(1))})},e.prototype.capture=function(){return o(this,void 0,void 0,function(){return s(this,function(t){switch(t.label){case 0:return[4,this.next()];case 1:return[2,t.sent().value]}})})},e.prototype.stop=function(){this.stream.getTracks().forEach(function(t){return t.stop()});try{this.webcamVideoElement.srcObject=null}catch(t){console.log(t),this.webcamVideoElement.src=null}this.isClosed=!0},e.prototype.toArray=function(){throw new Error("Can not convert infinite video stream to array.")},e}(j),vt=function(){},mt=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),e.prototype.split=function(t){return new yt(this,t)},e}(j),yt=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.impl=new wt(e,n),r}return i(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return o(this,void 0,void 0,function(){return s(this,function(t){return[2,this.impl.next()]})})},e}(mt),wt=function(t){function e(e,n){var r=t.call(this)||this;return r.upstream=e,r.separator=n,r.carryover="",r}return i(e,t),e.prototype.summary=function(){return this.upstream.summary()+" -> Split('"+this.separator+"')"},e.prototype.pump=function(){return o(this,void 0,void 0,function(){var t,e,n,r,i;return s(this,function(o){switch(o.label){case 0:return[4,this.upstream.next()];case 1:if((t=o.sent()).done)return""===this.carryover?[2,!1]:(this.outputQueue.push(this.carryover),this.carryover="",[2,!0]);for((e=t.value.split(this.separator))[0]=this.carryover+e[0],n=0,r=e.slice(0,-1);n<r.length;n++)i=r[n],this.outputQueue.push(i);return this.carryover=e[e.length-1],[2,!0]}})})},e}(X),bt=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),e.prototype.decodeUTF8=function(){return new gt(this)},e}(j),gt=function(t){function e(e){var n=t.call(this)||this;return n.upstream=e,n.impl=new xt(e),n}return i(e,t),e.prototype.summary=function(){return this.impl.summary()},e.prototype.next=function(){return o(this,void 0,void 0,function(){return s(this,function(t){return[2,this.impl.next()]})})},e}(mt),xt=function(t){function r(e){var r=t.call(this)||this;if(r.upstream=e,(0,n.env)().get("IS_BROWSER"))r.decoder=new TextDecoder("utf-8");else{var i=require("string_decoder").StringDecoder;r.decoder=new i("utf8")}return r}return i(r,t),r.prototype.summary=function(){return this.upstream.summary()+" -> Utf8"},r.prototype.pump=function(){return o(this,void 0,void 0,function(){var t,r,i;return s(this,function(o){switch(o.label){case 0:return[4,this.upstream.next()];case 1:return(t=o.sent()).done?[2,!1]:(r=t.value,i=(0,n.env)().get("IS_BROWSER")?this.decoder.decode(r,{stream:!0}):this.decoder.write(e.from(r.buffer)),this.outputQueue.push(i),[2,!0])}})})},r}(X),Ct=function(t){function e(e,r){void 0===r&&(r={});var i=t.call(this)||this;return i.file=e,i.options=r,n.util.assert(e instanceof Uint8Array||!!(0,n.env)().get("IS_BROWSER")&&(e instanceof File||e instanceof Blob),function(){return"FileChunkIterator only supports File, Blob and Uint8Array right now."}),i.offset=r.offset||0,i.chunkSize=r.chunkSize||1048576,i}return i(e,t),e.prototype.summary=function(){return"FileChunks "+this.file},e.prototype.next=function(){return o(this,void 0,void 0,function(){var t,e,n=this;return s(this,function(r){switch(r.label){case 0:return this.offset>=(this.file instanceof Uint8Array?this.file.byteLength:this.file.size)?[2,{value:null,done:!0}]:(t=new Promise(function(t,e){var r=n.offset+n.chunkSize;if(n.file instanceof Uint8Array)t(new Uint8Array(n.file.slice(n.offset,r)));else{var i=new FileReader;i.onload=function(n){var r=i.result;if(r instanceof ArrayBuffer&&(r=new Uint8Array(r)),!(r instanceof Uint8Array))return e(new TypeError("FileReader returned unknown type."));t(r)},i.onabort=function(t){return e(new Error("Aborted"))},i.onerror=function(t){return e(new Error(t.type))};var o=n.file.slice(n.offset,r);i.readAsArrayBuffer(o)}n.offset=r}),e={},[4,t]);case 1:return[2,(e.value=r.sent(),e.done=!1,e)]}})})},e}(bt);function zt(t,e){return void 0===e&&(e={}),o(this,void 0,void 0,function(){var r,i,o,u,a;return s(this,function(s){switch(s.label){case 0:return"string"==typeof t?r=t:(r=t.url,i=Et(t)),[4,n.util.fetch(r,i)];case 1:return(o=s.sent()).ok?(a=Uint8Array.bind,[4,o.arrayBuffer()]):[3,3];case 2:return u=new(a.apply(Uint8Array,[void 0,s.sent()])),[2,new Ct(u,e)];case 3:throw new Error(o.statusText)}})})}exports.CSVDataset=ft,exports.TextLineDataset=ot;var Et=function(t){return{method:t.method,headers:t.headers,body:t.body,mode:t.mode,credentials:t.credentials,cache:t.cache,redirect:t.redirect,referrer:t.referrer,integrity:t.integrity}};function St(t){return"string"==typeof t&&"file://"===t.substr(0,7)}var At=function(t){function e(e,n){void 0===n&&(n={});var r=t.call(this)||this;return r.input=e,r.options=n,r}return i(e,t),e.prototype.iterator=function(){return o(this,void 0,void 0,function(){var t;return s(this,function(e){return St(this.input)&&(0,n.env)().get("IS_NODE")&&(t=require("fs"),this.input=t.readFileSync(this.input.substr(7))),[2,new Ct(this.input,this.options)]})})},e}(vt),Rt=function(t){function e(e,n){void 0===n&&(n={});var r=t.call(this)||this;return r.url=e,r.fileOptions=n,r}return i(e,t),e.prototype.iterator=function(){return o(this,void 0,void 0,function(){return s(this,function(t){return St(this.url)?[2,new At(this.url,this.fileOptions).iterator()]:[2,zt(this.url,this.fileOptions)]})})},e}(vt);function Tt(t,e){return void 0===e&&(e={}),new ft(new Rt(t),e)}function kt(t){var e=this,n=D(t);return tt(function(){return o(e,void 0,void 0,function(){return s(this,function(t){return[2,n]})})})}function Ft(t){var e=this;return tt(function(){return o(e,void 0,void 0,function(){var e;return s(this,function(n){switch(n.label){case 0:return[4,t()];case 1:return e=n.sent(),[2,D(function(){return e.next()})]}})})})}function Nt(t,e){return o(this,void 0,void 0,function(){return s(this,function(n){return[2,dt.create(t,e)]})})}function Dt(t){return o(this,void 0,void 0,function(){return s(this,function(e){return[2,pt.create(t)]})})}exports.URLDataSource=Rt,exports.FileDataSource=At;var It="1.3.1";exports.version_data=It;
},{"@tensorflow/tfjs-core":"PqBP","crypto":"sC8V","string_decoder":"sC8V","fs":"sC8V","buffer":"aMB2"}],"cHV2":[function(require,module,exports) {
"use strict";Object.defineProperty(exports,"__esModule",{value:!0});var e={version:!0,data:!0};exports.data=exports.version=void 0;var r=require("@tensorflow/tfjs-core");Object.keys(r).forEach(function(t){"default"!==t&&"__esModule"!==t&&(Object.prototype.hasOwnProperty.call(e,t)||Object.defineProperty(exports,t,{enumerable:!0,get:function(){return r[t]}}))});var t=require("@tensorflow/tfjs-layers");Object.keys(t).forEach(function(r){"default"!==r&&"__esModule"!==r&&(Object.prototype.hasOwnProperty.call(e,r)||Object.defineProperty(exports,r,{enumerable:!0,get:function(){return t[r]}}))});var o=require("@tensorflow/tfjs-converter");Object.keys(o).forEach(function(r){"default"!==r&&"__esModule"!==r&&(Object.prototype.hasOwnProperty.call(e,r)||Object.defineProperty(exports,r,{enumerable:!0,get:function(){return o[r]}}))});var n=s(require("@tensorflow/tfjs-data"));function a(){if("function"!=typeof WeakMap)return null;var e=new WeakMap;return a=function(){return e},e}function s(e){if(e&&e.__esModule)return e;var r=a();if(r&&r.has(e))return r.get(e);var t={};if(null!=e){var o=Object.defineProperty&&Object.getOwnPropertyDescriptor;for(var n in e)if(Object.prototype.hasOwnProperty.call(e,n)){var s=o?Object.getOwnPropertyDescriptor(e,n):null;s&&(s.get||s.set)?Object.defineProperty(t,n,s):t[n]=e[n]}}return t.default=e,r&&r.set(e,t),t}exports.data=n;var f="1.3.1",c={"tfjs-core":r.version_core,"tfjs-data":n.version_data,"tfjs-layers":t.version_layers,"tfjs-converter":o.version_converter,tfjs:f};exports.version=c;
},{"@tensorflow/tfjs-core":"PqBP","@tensorflow/tfjs-layers":"KLDv","@tensorflow/tfjs-converter":"rGPK","@tensorflow/tfjs-data":"ewAU"}],"y2VK":[function(require,module,exports) {
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